International Business Machines Corporation

Merative US L.p.

Piyush Madan

Fang Lu

Paul R Bastide

Vishrawas Gopalakrishnan

Shilpa N Mahatma

Rachita Chandra

Jingwei Yang

Sundar Saranathan

Italo Buleje

Aisha Walcott

Bharath Dandala

Ching-Huei Tsou

Divya Pathak

Michal Rosen-Zvi

Ananya Aniruddha Poddar

Diwakar Mahajan

Swapnil Chhabra

Joern Jaskolowski

Terry Verne Taerum

Sharon M Hensley Alford

Parthasarathy Suryanarayanan

Jeffrey B Beers

Systems, devices, computer-implemented methods, and/or computer program products that facilitate artificial intelligence (AI)-assisted curation of non-pharmaceutical intervention (NPI) data from heterogeneous data sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component and a change detection component. The extraction component can extract candidate non-pharmaceutical intervention (NPI) events from data associated with a defined disease. The change detection component can evaluate the candidate NPI events for inclusion in a dataset storing NPI events in a defined format.

Artificial intelligence-assisted non-pharmaceutical intervention data curation

A computer system manages a health condition based on conditions of an environment. Health information of a user is analyzed to determine a health condition affected by environmental conditions. One or more events for the user are obtained based on personal information. The environmental conditions for one or more event locations are determined. One or more preventive items are indicated for the user to attend the one or more events in order for the health condition to tolerate the environmental conditions of the one or more event locations. Embodiments of the present invention further include a method and program product for managing a health condition based on conditions of an environment in substantially the same manner described above.

Managing health conditions using preventives based on environmental conditions

For locations along a route a user will be traveling, the alert system for environmental changes compares first and second sets of images associated with first and second timestamps, respectively. The alert system determines degrees of environmental changes for the locations based on the comparisons. The alert system then generates and sends an alert to a user device. In determining the degrees of environment changes, the alert system retrieves first and second set of images matching a given location and associated with first and second timestamps. The alert system identifies first and second sets of objects and extracts first and second sets of attributes for the first and second sets of images. The alert system compares the first and second sets of attributes and the first and second set of objects, and determines a given degree of environmental changes at the given location based on the comparisons.

Alert system for environmental changes

A computer system monitors users to capture contextual and environmental data for managing adverse events of those users. A level of risk for occurrence of an adverse event from performing a medical related activity is determined based on the medical related activity, a medical profile, and a risk profile of the user. The user is monitored to capture environmental and contextual information for the adverse event. The captured information is stored to associate the captured information with the adverse event. In response to occurrence of the adverse event, the user is prompted to provide information pertaining to conditions surrounding the adverse event. The stored information for the adverse event is updated with the user-provided information, and is transmitted to a provider associated with the medical related activity. Embodiments of the present invention further include a method and program product for managing adverse events in substantially the same manner described above.

Monitoring users to capture contextual and environmental data for managing adverse events

Techniques for clinical concept score generation are provided. A set of keywords related to a clinical concept are determined, and a plurality of attributes is identified by searching a plurality of electronic health records (EHRs) based on the set of keywords. A plurality of attribute groups is generated, where each of the attribute groups is statistically orthogonal and includes at least one of the plurality of attributes, based on occurrence data extracted from the plurality of EHRs. For a patient, a plurality of attribute scores is determined for the plurality of attributes based on occurrence data extracted from one or more EHRs corresponding to the patient. A plurality of attribute group scores is determined, for the patient, for the plurality of attribute groups, based on the plurality of attribute scores. A clinical concept score is generated for the patient based on the plurality of attribute group scores.

Generation of concept scores based on analysis of clinical data

Embodiments of the present invention disclose a method, a computer program product, and a computer system for medication decision support. A computer generates one or more patient profiles detailing one or more patient health conditions and one or more medication profiles detailing one or more medication side effects. The computer then determines an association between the one or more patient health conditions and one or more medication side effects and quantifies the association as a conflict score. In addition, the computer determines whether the conflict score exceeds a threshold and, if so, the computer identifies and recommends an alternative medication having a lower conflict score.

Medication decision support

Methods and apparatus for identifying health trends via the identification of ambiguous food items via container identification may be provided by: receiving an image captured from a user device that includes a food item; identifying a food container present in the image; identifying a utensil present in the image; determining a cluster of food items from a food recognition database corresponding to the food container and to the utensil; selecting a candidate food item from the cluster based on a confidence score of the candidate food item matching the food item; and adding the candidate food item to a dietary log associated with the user device.

Health trends identification

Communication session data pertaining to a first user can be received during an electronic communication session in which the first user and at least a second user participate. The communication session data can be analyzed. Based on the analysis, a concentration level score of the first user can be determined. A contextual indicator indicating the concentration level score of the first user can be generated. The contextual indicator can be communicated to a second client device used by the second user. Communicating the first contextual indicator to the second client device can initiate the second client device to present, in a user interface used by the second user for the communication session, a first user interface element indicating the concentration level score of the first user.

Indicating in an electronic communication session a concentration level score of a user participating in the electronic communication session

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Boston, MA, United States of America

Piyush Madan