Abstract: The method for evaluating mental health of a patient includes displaying a series of inquiries from mental health questionnaires on a display device. Each inquiry of the series of inquiries includes text and a set of answers. A series of selections is received from a user interface. Each selection of the series of selections is representative of an answer of the set of answers for each corresponding inquiry in the series of inquiries. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with a patient. Using a machine learning model, the series of selections and the unprocessed MRI data are processed. The series of selections being processed corresponds to the series of inquiries. A symptom severity indicator for a mental health category of the patient is outputted.

Abstract: A method, apparatus and system for portfolio performance prediction of a portfolio of projects include receiving information regarding at least start date delays, duration increases and cost overruns for at least one project of the portfolio of projects, determining at least one cluster for the at least one project from the received information regarding at least the start date delays, duration increases and cost overruns for the at least one project of the portfolio of projects, creating a statistical representation for each of the clusters of the at least one project of the portfolio, and predicting a performance of the portfolio of projects using information regarding the statistical representation of the clusters of the at least one project of the portfolio of projects.

Abstract: A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MM data are received. The unprocessed MRI data correspond to a set of MM images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions are selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

Abstract: A system includes a display device, a user interface, a memory, and a control system. The memory contains machine readable medium including machine executable code storing instructions for performing a method. The control system is coupled to the memory, and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to display, on the display device, a series of questions from mental health questionnaires. The series of questions includes text and answers for each question. From the user interface, a selection of answers of each of the displayed series of questions is received from a patient. Using a Bayesian Decision List, the received selection of answers is processed to output an indication of mental health of the patient. The indication of mental health identifies a kappa opioid receptor antagonist to which the patient would likely be a higher responder.

Abstract: Techniques are disclosed for narrowing search requests, based on interaction between a search system and a user. For example, a plurality of search results is generated in response to a search query. To reduce the number of search results, a plurality of attributes or features of the search results are identified. Each feature has a corresponding plurality of clusters, where a cluster of a feature represents a corresponding range or value of the feature. For each feature, the first plurality of search results is categorized into the corresponding plurality of clusters of the corresponding feature. A feature is then selected. The search system interacts with the user, to identify a cluster of the plurality of clusters of the selected feature in which one or more intended search results belong. Based on such identification of the cluster, the search system refines or narrows down the first plurality of search results.

Abstract: Technology for an enhanced personal emergency response system (e-PERS) unit is disclosed. The e-PERS unit can transmit a general message related to a personal emergency to a personal emergency response system (PERS) computing service environment (CSE), wherein the general message includes an identification (ID) of the e-PERS unit to enable the e-PERS CSE to send the ID of the e-PERS unit to a monitoring station. The e-PERS unit can receive a unit profile message from the e-PERS CSE. The e-PERS unit can: open a voice channel to the monitoring station in response to receiving the general message from the e-PERS CSE, or receive a voice call from the monitoring station in response to receiving the ID of the e-PERS unit at the monitoring station. The e-PERS unit can include a display screen and a base unit help button.

Abstract: An apparatus and method for assisting and educating patient mobility and recovery are disclosed. In one embodiment, wearable garments, such as socks, include at least one visual indicator to instruct and educate patients to ensure that the proper foot is used for mobility and recovery. The wearable garments includes a number of visual indicators to aid with instruction and education even for patients with visual impairments. The wearable garments additionally includes a non-skid bottom surface for preventing slips.

Abstract: Techniques for guiding an interaction with an electronic form via a computing device are described. For example, a form guidance engine is initiated. The form guidance engine maintains a state of the electronic form. The form guidance engine also maintains user information in, for example, a user profile. The user information is associated with a user of the computing device and relates to how the user interacts with the electronic form. Based on the user information, the form guidance engine anticipates a potential interaction with the electronic form given the state. Accordingly and prior to a user request for information about the electronic form, the form guidance engine generates a presentation configured to guide the user to perform the potential interaction with the electronic form via a computing device. A user response to the presentation is received. The form guidance engine performs an action associated with the electronic form and updates the state of the electronic form.

Abstract: A system includes a display device, a user interface, a memory, and a control system. The memory contains machine readable medium including machine executable code storing instructions for performing a method. The control system is coupled to the memory, and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to display, on the display device, a series of questions from mental health questionnaires. The series of questions includes text and answers for each question. From the user interface, a selection of answers of each of the displayed series of questions is received from a patient. Using a Bayesian Decision List, the received selection of answers is processed to output an indication of mental health of the patient. The indication of mental health identifies a kappa opioid receptor antagonist to which the patient would likely be a higher responder.

Abstract: Technology for an enhanced personal emergency response system (e-PERS) unit is disclosed. The e-PERS unit can transmit a general message related to a personal emergency to a personal emergency response system (PERS) computing service environment (CSE), wherein the general message includes an identification (ID) of the e-PERS unit to enable the e-PERS CSE to send the ID of the e-PERS unit to a monitoring station. The e-PERS unit can receive a unit profile message from the e-PERS CSE. The e-PERS unit can: open a voice channel to the monitoring station in response to receiving the general message from the e-PERS CSE, or receive a voice call from the monitoring station in response to receiving the ID of the e-PERS unit at the monitoring station. The e-PERS unit can include a display screen and a base unit help button.

Abstract: A request is received from an account holder to link a payment card to a payment card account owned by an account holder. The request is submitted by the account holder and receipt of the request includes receiving a payment card identification number displayed in association with the payment card. The payment card identification number is used to look up a payment token electronically stored in the payment card. The payment card identification number is different from the payment token. The payment token is mapped to a payment card account number that identifies the payment card account owned by the account holder.

Abstract: A computer-implemented method for authenticating an online user with an access control server (ACS) is provided.

Abstract: Technology for an enhanced personal emergency response system (e-PERS) unit is disclosed. The e-PERS unit can transmit a general message related to a personal emergency to a personal emergency response system (PERS) computing service environment (CSE), wherein the general message includes an identification (ID) of the e-PERS unit to enable the e-PERS CSE to send the ID of the e-PERS unit to a monitoring station. The e-PERS unit can receive a unit profile message from the e-PERS CSE. The e-PERS unit can: open a voice channel to the monitoring station in response to receiving the general message from the e-PERS CSE, or receive a voice call from the monitoring station in response to receiving the ID of the e-PERS unit at the monitoring station. The e-PERS unit can include a display screen and a base unit help button.

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions are selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

Abstract: Techniques for assisting users electronic forms. One exemplary technique involves initiating a workflow assistant based on user input of the user or a predetermined triggering event to prompt the user to complete the electronic form. The workflow assistant downloads or obtains the electronic form based on a user response and identifies a workflow based on the electronic form. The workflow identifies a sequence of user interactions to complete the electronic form. Identifying the workflow includes developing, based on fields in the electronic form, requests for content of fields from the user and possible predicted answer choices for the content of each of the fields. The workflow assistant then executes the workflow to conduct the user interactions to obtain the content for the fields of the electronic form to complete the electronic form.

Abstract: Techniques for assisting a user with completing an electronic form via a computing device are described. For example, the user operates the computing device to populate fields of the electronic form. Rather than presenting the electronic form at the computing device in order to populate the fields, a form filling engine reformulates the electronic form into a set of input requests. The form filling engine is local or remote to the computing device. Each input request, when presented, provides guidance about at least one field and solicit a user response that is proper for that field. The form filling engine presents the input requests via the computing device one at a time to solicit the user responses. Data from the user responses are used by the form filling engine to populate the fields of the electronic form.

Abstract: An apparatus and method for assisting and educating patient mobility and recovery are disclosed. In one embodiment, wearable garments, such as socks, include at least one visual indicator to instruct and educate patients to ensure that the proper foot is used for mobility and recovery. The wearable garments includes a number of visual indicators to aid with instruction and education even for patients with visual impairments. The wearable garments additionally includes a non-skid bottom surface for preventing slips.

Abstract: A bushing for a bracket assembly of a linkage assembly of a machine includes a cylindrical portion with an end, and a number of holes arranged on and along an axial direction of cylindrical portion, and being longitudinally spaced apart from each other. The bracket assembly includes a plate having an opening, and the cylindrical portion of the bushing is configured to be inserted into and positioned within the opening. The holes facilitate multiple positions of the end relative to the plate.

Abstract: A bracket assembly for coupling an implement to an arm of a machine includes a bracket with a plate and a bushing. The plate includes an opening having an inner wall including a number of engagement structures arranged along an axial direction of the opening. The engagement structures are longitudinally spaced apart from each other. The bushing is adapted to be inserted and positioned into the opening. The bushing includes a cylindrical portion with an outer surface, an end, and a plurality of mating structures arranged on the outer surface, along an axial direction of the cylindrical portion. The mating structures are longitudinally spaced apart from each other. An engagement between the engagement structures and the mating structures facilitate multiple positions of the end relative to the plate.