Abstract: A method, system and computer program product for amplifying a single voice during an audio conversation. One embodiment of the method may comprise receiving, by a computing device, an audio sample of speech from a user, and generating, by the computing device, a user-specific acoustic model for enhancement of speech by the user based upon the audio sample. The method may further comprise receiving a live audiovisual stream, the live audiovisual stream including live speech by the user during an audio conversation, wherein the live audiovisual stream includes background noise, and using, by the computing device, the user-specific acoustic model to selectively amplify the live speech during the live audiovisual stream without amplifying the background noise.

Abstract: A method, system, and computer program product for a data modelling platform to engage with a user via a user interface is provided. A predictive data model is displayed based on the user query. Provenance and evidence is provided based on a user selected result. The ground truth dataset is modified in response to receiving a user action via the user interface.

Abstract: 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.

Abstract: 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.

Abstract: A method, system, and computer program product for a data modelling platform to engage with a user via a user interface is provided. A predictive data model is displayed based on the user query. Provenance and evidence is provided based on a user selected result. The ground truth dataset is modified in response to receiving a user action via the user interface.

Abstract: 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.

Abstract: 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.