Abstract: A method for updating response profiles of drivers, comprising receiving a plurality of images captured by one or more imaging sensors deployed to monitor one or more eyes of a driver of a vehicle, analyzing at least some of the plurality of images to identify one or more eye dynamics signal patterns preceding one or more abnormal driving events occurring in an environment of the vehicle, updating a response profile of the driver based on an association of one or more of the abnormal driving event and the one or more of the identified eye dynamics signal patterns and providing information based on the updated response profile of the driver. The provided information is configured to enable one or more control systems of the vehicle to predict an imminent abnormal driving event based on an eye dynamics signal of the driver.

Abstract: Systems, devices, and methods are described for assessing the risk of developmental, cognitive, social, or mental abilities or disabilities in very young patients (e.g., in the first 2-6 months of life). Generally, the decline in visual fixation of a subject over time with respect to certain dynamic stimuli provides a marker of possible abilities or disabilities (such as ASD). The visual fixation of the subject is identified, monitored, and tracked over time through repeated eye tracking sessions, and data relating to the visual fixation is then analyzed to determine a possible increased risk certain conditions in the subject. A change in visual fixation as compared to similar visual fixation data of typically-developing subjects or to a subject's own, prior visual fixation data provides an indication of a developmental, cognitive, or mental ability or disability.

Abstract: A vehicular driver monitoring system includes an interior-viewing camera viewing at least a head region of a driver of a vehicle, and a plurality of exterior-viewing cameras disposed at and viewing exterior of the vehicle. Based at least in part on processing at an electronic control unit (ECU) of image data captured by the interior-viewing camera, the vehicular driver monitoring system monitors the driver of the vehicle. Based at least in part on processing at the ECU of image data captured by at least one exterior-viewing camera of the plurality of exterior-viewing cameras, the vehicular driver monitoring system estimates a current driving workload of the driver of the vehicle. Based at least in part on monitoring of the driver and the estimated current driving workload, the system classifies the driver as being at least one selected from the group consisting of (i) overloaded, (ii) attentive, (iii) distracted and (iv) drowsy.

Abstract: A method for operating a data processing system to provide an estimate of a vault value for a PIOL to be inserted in a patient, a system for predicting the vault that will be realized for an implant, and computer readable medium that includes instructions that cause a data processing system to implement the method when the instructions are executed by a data processing system are disclosed. The method includes causing the data processing system to receive ultrasound-based anatomical measurements of the patient's eye, causing the data processing system to receive parameters specifying a power and size for the PIOL; and utilizing a calibrated model of a human eye to predict the vault based on the anatomical measurements and the parameters specifying the power and the size for the PIOL.

Abstract: A controller of a medical image processing device acquires a medical image of a subject. The controller causes a display to display a pre-modification image in which at least the position or range of a lesion to be modified on the medical image is displayed. The controller receives an instruction to designate at least the position or range of the lesion to be modified in a state in which the pre-modification image is displayed on the display. When at least the position or range of the lesion is designated, the controller acquires a predicted disease image in which the lesion is modified according to the designated information on the basis of the medical image. The controller causes the display to display the predicted disease image and the pre-modification image simultaneously or in a switching manner.

Abstract: An apparatus includes a processing device configured to obtain an information density matrix characterizing information density of feature points in an input visual stimulus, and to analyze content of the input visual stimulus utilizing the information density matrix to identify one or more objects in the input visual stimulus. The processing device is also configured to determine emotional resonance scores associated with each of the objects in the input visual stimulus, a given emotional resonance score for a given one of the one or more objects characterizing an intensity and an emotional valence of an emotional effect of the given object on a user viewing the input visual stimulus. The processing device is further configured to modify a design of the input visual stimulus to adjust at least one of the emotional resonance scores associated with at least one of the one or more objects in the input visual stimulus.

Abstract: A method for training a system for measuring or estimating or both of a user's response to a stimulus and for classifying the response is disclosed. The system is trained using a test stimulus presented to one or more users. One or more images of the users' face are captured and simultaneously EEG signals of the users are captured. One or more emotional features are derived from the facial data of the users. One or more cognitive features and emotional features are derived from the EEG signals of each of the users, and a training dataset is created by correlating the one or more emotional features from the facial data, one or more cognitive and emotional features from the EEG signals with one or more features associated with the test stimulus. Created training dataset is used for measuring or estimating or both of a user's response to the stimulus.

Abstract: Determining lung capacity of includes capturing an audio waveform of the user performing an utterance presented to a user. A video of the user performing the utterance can be captured. The captured audio waveform and the video are analyzed for compliance. Based on the audio waveform, an indicator of respiratory function is determined. The indicator is compared with a reference indicator to determine health of the user. A machine learning model such as neural network can be trained to predict the indicator of the respiratory function based on input features comprising audio spectral and temporal characteristics of utterances. Determining the indicator or respiratory function can include running the trained machine learning model.

Abstract: Provided is an information processing device including a reaction information use unit configured to use reaction information indicating a reaction of a user to presented information in a case where use of the reaction information has been permitted.

Abstract: A computer implemented method comprising: receiving a report on a condition of a human or animal subject, composed by a user based on a scan of the subject; inputting the current report and the scan into a trained machine learning model; and based on the report and the scan, the machine learning model generating one or more suggestions for updating the text of the report. The method further comprises causing a user interface to display to the user one or more suggestions for updating the text of the report, with each respective suggestion visually linked in the user interface to a corresponding subregion within at least one image of the scan based upon which the respective suggestion was generated.

Abstract: A system for individualizing neuromodulation includes a neurostimulation device having a set of electrodes, and an application executing on a user device. Additionally or alternatively, the system can include any or all of: a sensor system, a head-securing mechanism, a remote server, storage, an accessory device, and any other suitable component. A method for individualizing neuromodulation includes determining a task of interest to a user; determining a user skill level associated with the task; determining a set of goals; determining an individualized neuromodulation program comprising a neurostimulation pattern; and delivering the neurostimulation pattern to the user. Additionally or alternatively, the method can include any or all of: determining user progress; displaying user progress; receiving user feedback; determining and/or adapting neuromodulation program based on user progress and/or user feedback; and any other suitable process.

Abstract: A virtual reality instrument measures the refraction and aberrations of the eye in an automatic way, and includes a portable part which is a virtual reality headset foreseen of a detailed screen per eye and at least one background screen, both virtual. The detailed screen has a resolution multiple times the foveal resolution of the eye and the background screen has the resolution similar to the peripheral resolution of the eye. The virtual reality instrument also includes at least one pupil camera, a system to manipulate the phase of the light coming from the detailed screen, a wavefront sensor and light source to measure the wavefront using a wavelength of at least 400 nm.

Abstract: In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S11). The control unit, by inputting the ophthalmic image into a mathematical model that has been trained by a machine-learning algorithm, acquires a probability distribution in which the random variables are the coordinates at which a specific site and/or a specific boundary of a tissue is present within a region of the ophthalmic image (S14). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S16, S24).

Abstract: Controlling integral energy of a light pulse in a fluorescence imaging system is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes an electromagnetic sensor for sensing energy emitted by the emitter. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm and/or from about 795 nm to about 815 nm.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: The present specification discloses systems and computer implemented assessment methods including a system and method of assigning an individual to a group participating in a clinical study regarding a psychotic disorder, a system and method of determine whether and what type of psychotic disorder an individual may be suffering from; and a system and method of recommending a therapy to treat an individual with a psychotic disorder. All disclosed systems and computer implemented assessment methods use a non-invasive computational device-based test that uses a graphical user interface to measure a latent inhibition response of an individual to calculate a latent inhibition score and assess working memory. The latent inhibition score determines whether the individual exhibits an attenuated latent inhibition response, a normal latent inhibition response or an enhanced latent inhibition response.

Abstract: A vehicular driver monitoring system includes an interior camera viewing at least a head region of a driver of a vehicle. Driver information pertaining to the driver of the vehicle is provided to an electronic control unit (ECU). Based at least in part on (i) processing at the ECU of image data captured by the interior camera and/or (ii) the received driver information, the vehicular driver monitoring system estimates a distraction workload of the driver and a driving workload of the driver. At least in part responsive to processing at the ECU of the estimated distraction workload and the estimated driving workload, the vehicular driver monitoring system determines an amount of driver attention. The amount of driver attention is determined at least in part by weighting the driving workload and the distraction workload based at least in part on driving conditions.

Abstract: A fatigue state determination device and a fatigue state determination method determine a fatigue state of a subject. The fatigue state determination device includes a brain-function activation information provision unit and a fatigue state determination unit. The brain-function activation information provision unit provides brain-function activation information in order to activate a human brain function of a subject. The fatigue state determination unit determines a fatigue state of the subject based on facial-surface change information indicative of a time-series change of facial surface data on the subject while the brain-function activation information is being provided.

Abstract: An eye movement desensitization and reprocessing treatment system comprises an apparatus designed for the remote administration of eye movement desensitization and reprocessing (EMDR) therapy via an internet connection. The eye movement desensitization and reprocessing treatment system enables a therapist to remotely present a patient with a plurality of varying visual, audible, and tactile stimuli. The eye movement desensitization and reprocessing treatment system utilizes a pair of visual goggles with two layers of glass or glass-like material, which displays a visual image for the patient to follow with their eyes. A camera system provides a visual feed of the patient's face on the therapist's goggles. The frame of the visual screen comprises an array of LED lights that provide simulated sequential movement Over the ear noise cancelling headphones are also provided.

Abstract: Source light having a range of optical wavelengths is generated. The source light is split into sample light and reference light. The sample light is delivered into a sample, such that it is scattered by the sample, resulting in signal light that exits the sample. The signal light and reference light are combined into an interference light pattern having optical modes. Different subsets of the optical modes of the interference light pattern are respectively detected, and high-bandwidth analog signals respectively corresponding to the different subsets of optical modes of the interference light pattern are output. At least one characteristic is extracted from each of the plurality of high-bandwidth analog signals, and low-bandwidth digital signals respectively comprising the extracted characteristics are output. The sample is analyzed based on the low-bandwidth digital signals.

Abstract: This invention is directed to a bio-potential electrode-set for measuring electrical signals during an electrooculogram (EOG) from a human, particularly to flexible self-adhesive bio-potential sensing electrode-set substrate specifically to cover the perimeter of the eyes for EOG recordings. In general, EOG is a technique for measuring the cornea-retinal standing potential that exists between the front and the back of the human eye. The resulting signal is called the electrooculogram. Primary applications include, but are not limited to, ophthalmological assessments that require recording eye movements or gaze tracking and human computer/machine interfaces.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.

Abstract: A stimulus is displayed in a visual field on a stimulus side (e.g., right or left) of a subject. An input is received from an input side of the subject. Where the input side is contralateral to the first stimulus side, a crossed reaction time is determined as a span of time between displaying the stimulus and receiving the input. Where the input side is ipsilateral to the stimulus side, an uncrossed reaction time is determined as a span of time between displaying the stimulus and receiving the input. A crossed-uncrossed difference time can be determined as a difference between the crossed reaction time and the uncrossed reaction time. The crossed reaction time, the uncrossed reaction time, and/or the crossed-uncrossed difference time can be used to determine a severity of Traumatic Brain Injury of the subject.

Abstract: The invention provides methods and kits for detecting, screening, quantifying or localizing the etiology for reduced or impaired cranial nerve function or conduction; localizing a central nervous system lesion; detecting, diagnosing or screening for increased intracranial pressure, pressure or disruption of central nervous system physiology as seen with concussion; or detecting, diagnosing, monitoring progression of or screening for a disease or condition featuring increased intracranial pressure or concussion by tracking eye movement of the subject. The invention also provides methods and kits useful for detecting, screening for or quantitating disconjugate gaze or strabismus, useful for diagnosing a disease characterized by disconjugate gaze or strabismus in a subject, useful for detecting, monitoring progression of or screening for a disease or condition characterized by disconjugate gaze or strabismus in a subject or useful for quantitating the extent of disconjugate gaze or strabismus.

Abstract: A processor of an ophthalmologic image processing device acquires an ophthalmologic image photographed by an ophthalmologic image photographing device. The processor inputs the ophthalmologic image into a mathematical model trained by a machine learning algorithm to acquire a result of an analysis relating to at least one of a specific disease and a specific structure of a subject eye. The processor acquires information of a distribution of weight relating to an analysis by a mathematical model, as supplemental distribution information, for which an image area of the ophthalmologic image input into the mathematical model is set as a variable. The processor sets a part of the image area of the ophthalmologic image, as an attention area, based on the supplemental distribution information. The processor acquires an image of a tissue including the attention area among a tissue of the subject eye and displays the image on a display unit.

Abstract: A system includes an electronic contact lens that can detect eye gestures for initiating various actions. The electronic contact lens includes integrated sensors for obtaining sensor measurements characterizing eye motion. The sensor measurements are processed to detect gestures mapped to specific actions such as changing a power state of the electronic contact lens, activating or deactivating a user interface or other feature, or selecting an item from a virtual menu. The eye gestures may involve the user sequentially stabilizing at a starting pitch, executing a first motion that crosses a first pitch threshold, executing a second motion that crosses a second pitch threshold in an opposite direction from the starting pitch, and stabilizing at an ending pitch.

Abstract: The described embodiments relate to systems, methods, and apparatus for providing a multimodal deep memory network (200) capable of generating patient diagnoses (222). The multimodal deep memory network can employ different neural networks, such as a recurrent neural network and a convolution neural network, for creating embeddings (204, 214, 216) from medical images (212) and electronic health records (206). Connections between the input embeddings (204) and diagnoses embeddings (222) can be based on an amount of attention that was given to the images and electronic health records when creating a particular diagnosis. For instance, the amount of attention can be characterized by data (110) that is generated based on sensors that monitor eye movements of clinicians observing the medical images and electronic health records.

Abstract: Systems and methods are described for extended reality environment interaction. An extended reality environment including an object is generated for display, and a table of eyelid motion identifiers and corresponding actions performable on the object in the extended reality environment is stored in memory. An eyelid motion is detected by using a sensor, and the detected eyelid motion is matched to one of the stored eyelid motion identifiers. An updated version of the extended reality environment, based on the action that corresponds to the matched eyelid motion, is generated for display, in response to matching the detected eyelid motion to one of the stored eyelid motion identifiers.

Abstract: A method for gaze-based workflow adaptation includes identifying a workflow in which a user is engaged, where the workflow comprises a plurality of tasks that collectively achieves a desired goal, creating a trigger for a given task of the plurality of tasks, wherein the trigger specifies an action to be automatically taken in response to a gaze of the user meeting a defined criterion, monitoring a progress of the workflow, monitoring the gaze of the user, and sending a signal to a remote device in response to the gaze of the user meeting the defined criterion, wherein the signal instructs the remote device to take the action.

Abstract: A cognitive impairment diagnostic apparatus includes: a display which displays a video for diagnosis of cognitive impairment on a display surface; an imaging unit which captures images of an eye of a subject; a detection unit which detects viewpoints of the subject on the display surface in time series based on the images captured by the imaging unit; a creation unit which creates a distribution map representing a distribution of the viewpoints detected by the detection unit; a storage unit which stores case characteristic data indicating a characteristic of a viewpoint distribution corresponding to a typical case in cognitive impairment; and a diagnostic unit which diagnoses cognitive impairment of the subject by determining whether the distribution map has the characteristic indicated by the case characteristic data.

Abstract: A hand-held sized ocular and neurological screening device, system and method, the screening device comprising an eyepiece and a hand-held housing, the housing comprising a tubular stimulus chamber defining a light stimulus channel, wherein an illumination source is configured to provide light stimulus towards an opening through the light stimulus channel and an operational chamber comprising an infrared camera positioned outside the stimulus channel and inclined towards the opening, the infrared camera is configured to capture images of the pupils and eye movements through the opening without interfering with the light stimulus and a controller configured to receive the captured images from the infrared camera. The hand-held sized device can include a clip-on fixture for fixing the device onto a table, a desktop, or any portable ophthalmic apparatus.

Abstract: A pulse wave detecting device includes: a pressure pulse wave detector which is configured to press a pressing surface in which a pressure detecting element is formed, against a radial artery under a skin of a wrist of a subject, and which is configured to detect a pressure pulse wave from the radial artery; and a housing which accommodates the pressure pulse wave detector in a state where the pressing surface is exposed toward the wrist. The housing is configured so that a compression pressure which is exerted by the housing in an attachment state where the housing is attached to the wrist, and which is applied onto the radial artery is smaller than a compression pressure which is exerted by the pressing surface in the attachment state, and which is applied onto the radial artery.

Abstract: Provided are an apparatus and a computer-readable storage medium having stored therein a program that can determine keratoconus with a simple configuration so as to allow the apparatus and the program to be distributed widely and contribute to early diagnosis of keratoconus. In a keratometer as a keratoconus determination apparatus, a prediction model for keratoconus is stored in a memory. The prediction model is a logistic regression model in which three parameters that are a steep meridian refractive power, a flat meridian refractive power, and a value indicating whether or not a subject eye has a with-the-rule astigmatism, are independent variables, and a probability of keratoconus is a dependent variable. A control unit substitutes the three parameter values into the prediction model, to obtain a probability of keratoconus. When the probability is greater than a cutoff value, the subject eye is determined to be suspected of having keratoconus.

Abstract: A method for user authentication is disclosed including capturing involuntary eye movement of an eyeball of a user; generating a unique pattern to identify the user in response to the involuntary eye movement; storing the unique pattern into a secured non-volatile memory device; and authenticating the user with an electronic device in response to the stored unique pattern.

Abstract: A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

Abstract: A method for monitoring a driver of a vehicle includes receiving, at a control, driver information based on the driver of the vehicle. A distraction workload of the driver is determined by the control based on the driver information and a driving workload of the driver is estimated by the control based on the driver information. An amount of driver attention is determined by the control based on the determined distraction workload and the determined driving workload.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Methods, apparatus, and systems for performing an ophthalmic diagnostic test are disclosed. In one aspect, a head-wearable device for administering an ophthalmic test to a subject can comprise a head-wearable frame for mounting the device onto the subject's head, and a light seal configured for coupling to the frame so as to isolate at least one eye of the subject from ambient light when the device is worn by the subject.

Abstract: An example method for estimating a disease state for a patient can include: capturing physiological data including images from the patient over time; processing the physiological data to detect a variability; comparing the variability to a baseline or a range; and estimating the disease state for the patient based upon the comparing of the variability to the baseline or the limit.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a refractive error of a tested eye. For example, a computing device may be configured to process depth mapping information to identify depth information of a tested eye; and to determine one or more parameters of a refractive error of the tested eye based on the depth information of the tested eye.

Abstract: An objective screening platform for mTBI screening includes a vergence testing stimulus generator visible to a subject and configured for presenting visual stimulus to a subject which forms an optical target stimulus for at least one vergence test; at least one data acquisition unit for obtaining objective physiologic responses of the subject unit based upon each of the visual stimulus presented to the subject in each test, wherein the objective physiologic responses for each test include at least one eye position parameter and at least one pupil area parameter; and a controller configured for using at least one eye position parameter and at least one pupil area parameter to screen for the presence of mTBI of the subject.

Abstract: A tissue resecting instrument includes a drive assembly coupled to an inner cutting shaft and configured to drive translation and/or rotation of the inner cutting shaft, a trigger coupled to the drive assembly and configured for manual actuation to drive the drive assembly, a vacuum generator configured to generate vacuum to suction cut tissue through the inner cutting shaft and into the vacuum generator, and a tissue collection cartridge configured to engage the housing. The tissue collection cartridge defines a port configured to communicate with the vacuum generator such that the vacuum generator urges cut tissue from the vacuum generator through the port into the tissue collection cartridge. An auxiliary vacuum source is configured to selectively provide additional vacuum to increase suctioning of cut tissue through the inner cutting shaft and into the vacuum generator.

Abstract: Disclosed are a vehicle control method and an intelligent computing device for controlling a vehicle. The processor can detect a gaze response speed of the driver by projecting a virtual object to an HUD when determining that the driver is in a drowsy state. The processor outputs a secondary warning and controls the vehicle to be driven in accordance with the secondary warning when the gaze response speed of the driver is less than a predetermined reference value. Accordingly, it is possible to reduce accidents that occur due to carelessness of drivers. Disclosed are a vehicle control method and an intelligent computing device for controlling a vehicle. The processor can detect a gaze response speed of the driver by projecting a virtual object to an HUD when determining that the driver is in a drowsy state.

Abstract: Described are various embodiments of a pupil tracking system and method, and digital display device and digital image rendering system and method using same. In one embodiment, a computer-implemented method for dynamically adjusting rendering of a digital image using a light field display comprises: sequentially acquiring a user pupil location; digitally computing a velocity thereof over time; digitally comparing the velocity with a designated threshold pupil velocity; digitally rendering the digital image via the light field display in accordance with a maintained light field viewing zone geometry digitally defined in respect of a previously acquired user pupil location unless the velocity is above the designated threshold pupil velocity.

Abstract: Disclosed are a device, a method, and a program for training memory using brain stimulation. The method includes at least: displaying a first problem on a task display portion of a screen; receiving a first response corresponding to the first problem; and evaluating a memory state of a user based on the first response. The first problem includes one or more output images to be displayed at a specific location within the task display portion, and the first response includes a result of comparing a previous first problem that was displayed before N times (N is a natural number) of executing the method, with the displayed first problem.

Abstract: An implantable intraocular physiological sensor for measuring intraocular pressure, glucose concentration in the aqueous humor, and other physiological characteristics. The implantable intraocular physiological sensor may be at least partially powered by a fuel cell, such as an electrochemical glucose fuel cell. The implantable intraocular physiological sensor may wirelessly transmit measurements to an external device. In addition, the implantable intraocular physiological sensor may incorporate aqueous drainage and/or drug delivery features.

Abstract: Controlling integral energy of a light pulse in a fluorescence imaging system is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes an electromagnetic sensor for sensing energy emitted by the emitter. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 795 nm to about 815 nm.

Abstract: An approach is provided in which the approach captures a voice command spoken by a user along with a set of data generated from a smart contact lens worn by the user. The approach matches the set of data to a command augmentation indicator that identifies an augmentation to the voice command. The approach aggregates the command augmentation indicator with the voice command into an aggregated command and executes the aggregated command accordingly.

Abstract: This document describes a data processing system for processing a feature vector that comprises features (one or more) that are indicative of dyslexic behavior that are indicative of dyslexic behavior. The data processing system includes a feature classification engine that generates classification metrics for a feature vector. Machine learning logic is used to determine a classification metric for each feature. Features that have a classification metric below a pre-determined threshold are removed. The data processing system includes a prediction engine that generates a prediction value indicative of a predicted likelihood of dyslexia. The prediction engine assigns, to each remaining feature, based on the classification metric of the respective remaining feature, a prediction weight and determines the prediction value based on the prediction weights.