Abstract: Provided are concepts for generating an indicator of chronic obstructive pulmonary disease (COPD) in a subject. In particular, an elasticated bag suitable for inflation is utilised, such that a change in a measurable characteristic of the elasticated during exhalation of the subject is detected. The change in the measurable characteristic may be analyzed so as to generate an indicator of COPD. Thus, this indicator may be used by a skilled professional in deciding whether to further investigate the possible presence of COPD.

Abstract: The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

Abstract: A method for generating virtual patients, including: collecting patient data including features for a plurality of patients; clustering the plurality of patients based upon the features to define patient data sub-groups in the plurality of patients; determining the homogeneity of the patient data sub-groups; and generating virtual patients for each patient data sub-group that represent the features of the patient data sub-group.

Abstract: A method for assigning a care plan to a patient, the method including: clustering patients based upon input patient data; producing a care plan frequency distribution for each cluster based upon the care plans assigned to each patient in the cluster; and assigning, for each cluster, the most frequent care plan from the frequency distribution for each cluster to each patient in that cluster.

Abstract: According to an aspect, there is provided a computer-implemented method of determining an updated set of words for use in an auditory verbal learning test, AVLT, on a first subject, the method comprising receiving, by a processing unit, an initial set of words for use in an AVLT, wherein the initial set comprises a predetermined number of a plurality of words stored in a database; processing, by the processing unit, the initial set to determine feature values for the initial set; extracting, by the processing unit, one or more words from the database based on a desired level of similarity between the feature values associated with the one or more extracted words and the feature values of the initial set; and selecting, by the processing unit, one or more of the extracted words to include in an updated set of words for use in an AVLT for the first subject.

Abstract: A system configured to analyzing an individual's strategic cancellation test identification plan, comprising: a cancellation test pattern with a plurality of different symbols; a target symbol; a processor configured to: (i) receive an identification of a plurality of symbols within the visual cancellation test pattern; (ii) receive location information for each identified symbol; (iii) convert the location information to a polar coordinate; (iv) adjust by a first factor the polar coordinate of each identified symbol corresponding to a clockwise rotation, and adjust by a second factor the polar coordinate of each identified symbol corresponding to a counterclockwise rotation; and (v) analyze the adjusted polar coordinates to determine the strategic cancellation test identification plan; and a user interface configured to provide a report comprising the determined strategic cancellation test identification plan.

Abstract: A method for clustering patients based upon unlabeled patient medical data, including: receiving a first feature of interest from a first user; extracting first patient data from a first patient database based upon the first feature of interest; labeling the extracted first patient data based upon the first feature of interest; producing a first customized distance measure using a classifier on the labeled patient data; extracting first unlabeled patient data from a second patient database; clustering the first unlabeled patient data using a clustering technique and the first customized distance measure to produce first clustered results.

Abstract: Provided is a system and method for facilitating data analysis performance with respect to analysis of individuals having one or more health conditions. The system comprises one or more processors configured to obtain profile information regarding profiles, each of the profiles indicating one or more health conditions or an individual having one or more health conditions; obtain probability information regarding probabilities of an individual developing health conditions, each of the probabilities being a probability of an individual developing a health condition; for each profile of the profiles, determine a relationship between the profile and one or more other profiles that are different from the profile with respect to at least one health condition, the determination of the relationship being based on one of the probabilities of an individual developing the at least one health condition; and generate a data structure representative of the profiles based on the determined relationships.

Abstract: According to an aspect there is provided an apparatus for determining a measure of the physical fitness of a subject, the apparatus comprising a processing unit that is configured to receive a first measurement signal from a first sensor that measures the force or pressure exerted on an object by the subject over time, the first measurement signal comprising measurements representing the force or pressure exerted on the object during a first movement in which the subject sits down on the object and/or during a second movement in which the subject stands up after sitting on the object; and analyze the first measurement signal to determine the measure of the physical fitness of the subject.

Abstract: The present disclosure pertains to a system for providing model-based population insight generation. In some embodiments, the system (i) obtains a data collection representative of a population of individuals; (ii) determines a grouping of the data collection to obtain groups representative of a plurality of individuals each having at least one attribute of a plurality of attributes; (iii) determines (a) a statistic for each attribute of the plurality of attributes for each of the groups, (b) whether there is a difference between the statistic of an attribute of a group and the statistics of the attribute of the other groups, and (c) whether a measure of significance for each difference of the differences exceeds a predetermined threshold; (iv) generate insight information reflecting the difference between a type of individual and other types of individuals relative to the attribute; and (v) effectuates presentation of the insight information.

Abstract: The present disclosure pertains to a system configured to provide computer-assisted generation of human-interpretable query suggestions reflective of clustering-obtained groups. The clustering may be performed on a large dataset representative of entities, each of the entities having at least one attribute. For each of the groups, the system may: add an attribute to a set of attributes based on the attribute being common to at least some entities of the group; add another attribute to the set of attributes based on the other attribute being common to at least some of the group's entities that have the set of attributes and on a quantity threshold being satisfied by a quantity of the group's entities that has the set of attributes other than the other attribute; and generate a query suggestion based on the set of attributes such that the query suggestion is configured for obtaining results reflective of the group.

Abstract: According to an aspect there is provided a computer-implemented method of monitoring a person, the method comprising (i) receiving medication schedule information regarding a person, the medication schedule information indicating the timing of medication doses for treating or suppressing one or more symptoms of a medical condition; (ii) setting a first monitoring interval for a first monitoring event for the person based on the received medication schedule, wherein the first monitoring interval starts before a first medication dose is scheduled to be taken in which a first monitoring event can be initiated; (iii) initiating a first monitoring event for the person in the first monitoring interval and monitoring the person for one or more characteristics associated with the one or more symptoms of the medical condition during the first monitoring event; (iv) setting a second monitoring interval for a second monitoring event for the person, wherein the second monitoring interval starts before a second medication

Abstract: The present invention relates to a system (10) for supporting an elderly, frail and/or diseased person (12), in particular a person suffering from Parkinson's disease, wherein the system (10) comprises: a detection unit (14) including (i) a brain activity sensor (20) for detecting a brain activity signal relating to the brain activity of the person (12) and (ii) a motion detection unit (22) for detecting a motion signal relating to a motion of one or more body parts of the person (12); an analysis unit (16) for determining, based on the detected brain activity signal and motion signal, an activity level of the person (12) which is indicative of the motoric and cognitive activity of the person (12); and a feedback unit (18) for providing a feedback to the person (12) if the activity level of the person (12) exceeds a predetermined threshold.

Abstract: According to an aspect, there is provided an apparatus (2) for use in detecting malingering by a first subject in one or more physical and/or mental function tests, the apparatus (2) comprising a memory unit (10) and a processing unit (8). The memory unit (10) is configured to store information relating to a multivariate probability distribution, MPD, for a plurality of parameters, with each parameter relating to a particular physical and/or mental function test in a set of physical and/or mental function tests, the MPD being determined from one or more population test results, and each population test result relating to the performance of one or more tests in the set by a respective subject in a population of subjects and comprising values for the parameters relating to the one or more tests performed by the subject.

Abstract: According to an aspect there is provided an apparatus for determining a measure of the physical fitness of a subject, the apparatus comprising a processing unit that is configured to receive a first measurement signal from a first sensor that measures the force or pressure exerted on an object by the subject over time, the first measurement signal comprising measurements representing the force or pressure exerted on the object during a first movement in which the subject sits down on the object and/or during a second movement in which the subject stands up after sitting on the object; and analyze the first measurement signal to determine the measure of the physical fitness of the subject.

Abstract: The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change;, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

Abstract: In summary the invention relates to a stimuli control system configured for finding ambient stimuli from a database in a way so that the ambient stimuli having the most promising effect on stress reduction is selected. The selection may be performed based on a probability distribution created for describing how likely it is that a given ambient stimuli has a positive effect on the stress level for a given patient or other user. The database is a multiuser database which may be updated based on experiences from users' already registered ambient stimuli.

Abstract: The present invention relates to a system (10) for supporting an elderly, frail and/or diseased person (12), in particular a person suffering from Parkinson's disease, wherein the system (10) comprises: a detection unit (14) including (i) a brain activity sensor (20) for detecting a brain activity signal relating to the brain activity of the person (12) and (ii) a motion detection unit (22) for detecting a motion signal relating to a motion of one or more body parts of the person (12); an analysis unit (16) for determining, based on the detected brain activity signal and motion signal, an activity level of the person (12) which is indicative of the motoric and cognitive activity of the person (12); and a feedback unit (18) for providing a feedback to the person (12) if the activity level of the person (12) exceeds a predetermined threshold.

Abstract: A stress-measuring device (10) and method determines a level (15) of stress of a user (1), in particular long-term stress. The stress-measuring device (10) includes an input interface (12) for receiving a skin conductance signal (11) indicating the skin conductance of the user (1), the skin conductance signal (11) over time forming skin conductance trace data (13). The stress-measuring device (10) further includes a processing unit (14) for processing the skin conductance trace data (13). The processing unit (14) determines, over at least a portion of the skin conductance trace data (13), values of a rise time (tr) between at least two different points of the skin conductance trace data (13), a frequency distribution of the rise time (tr) values, and the level (15) of stress of the user (1) based on the determined frequency distribution.

Abstract: The present invention relates to a system for assisting a person in walking, comprising a measurement unit for measuring physiological data including vital sign data and movement data of the person; an activity ability determination unit which is configured to determine a frailty state of the person based on the vital sign data, and to determine walking characteristics of the person based on the movement data; an activity program unit which is configured to select and continuously update a walking program based on the determined frailty state of the person and the determined walking characteristics of the person.