Koninklijke Philips Corporation N.v.

Gertjan Laurens Schuurkamp

Reza Sharifi Sedeh

Jan Hendrik Poesse

Eran Simhon

Rob Jaartsveld

Jordan Lento

Cecilia Meijer

Amir Abdolahi

The present system is configured to display distributions of predicted health outcome information for patient populations in geographical areas. The system is configured to obtain demographic, social (e.g., including environmental), and prior health outcome information for a patient population in a geographical area. The system is configured to train a prediction model based on the demographic, social, and prior health outcome information, which outputs weighted features of the demographic and social information that are predictive of health outcomes for the patient population. The system is configured to cause display of a distribution of predicted health outcome information for the patient population in the geographical area based on the weighted features.

System and method for prediction-model-based display of distributions of health outcome information for patient populations in geographical areas

Presented are concepts for monitoring activities of daily living, ADLs, of a person within an environment. Once such concept provides a graphical interface for an ADL monitoring system, wherein the graphical interface is adapted to display a graphical element representative of an ADL detected by the ADL monitoring system, and wherein the shape, size, position, orientation, pulsating and/or color of at least a portion of the graphical element is based on one or more attributes of the detected ADL.

Monitoring activities of daily living of a person

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Utrecht, Netherlands

Gertjan Laurens Schuurkamp