公开(公告)号：US20210073629A1

公开(公告)日：2021-03-11

申请号：US16772425

申请日：2018-12-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Xin WANG ,  Eran SIMHON ,  Reza SHARIFI SEDEH ,  Amir ABDOLAHI ,  Cecilia MEIJER

IPC: G06N3/08 ,  G06N5/02 ,  G06Q30/02

Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for socioeconomic data and missing value prediction. Some embodiments may: extract, from received population segment data, a training set of socioeconomic parameter values for each population segment; provide, to a prediction model as input, first parameter values of the respective training set for the prediction of additional parameter values of the training set such that the prediction of the additional parameter values is performed without reliance on the additional parameter values; provide, for each of the training sets, the additional parameter values to the prediction model as reference feedback for the prediction model's prediction of the additional parameter values to train the prediction model; and predict, based on a working set of parameter values for a population segment, additional values for the working set using the prediction model subsequent to its training.

公开(公告)号：US20190156952A1

公开(公告)日：2019-05-23

申请号：US16174336

申请日：2018-10-30

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Eran SIMHON ,  Xin WANG ,  Reza SHARIFI SEDEH ,  Amir ABDOLAHI ,  Cecilia MEIJER

IPC: G16H50/30 ,  G16H50/50 ,  G06N99/00

Abstract: In one embodiment, a computer system and method is disclosed for providing an adjustable social determinates of health model, which allows for user selectable customization of the categories used to calculate the model as well as adjustment of the model itself. In addition, the system displays predictiveness metrics indicating the predictive quality of the model. The model can be used by the user to create a socio-economic index to provide the user with insights into the relevant socio-economic factors impacting healthcare of an individual patient or population.

公开(公告)号：US20210219875A1

公开(公告)日：2021-07-22

申请号：US17150094

申请日：2021-01-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Mladen MILOSEVIC ,  Saman PARVANEH ,  Amir ABDOLAHI ,  Roberto BUIZZA

IPC: A61B5/11 ,  A61B5/00

Abstract: A strength assessment generator includes at least one sensor configured to detect movement data and a processor configured to generate a strength assessment based on the movement data detected by the at least one sensor. The at least one sensor is coupled to a body part of a person, and the movement data corresponds to movement of the body part when an object is moved by the body part.

公开(公告)号：US20190213302A1

公开(公告)日：2019-07-11

申请号：US16199701

申请日：2018-11-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Amir ABDOLAHI ,  Cecillia Meijer ,  Eran Simhon ,  Gertjan Laurens Schuurkamp ,  Reza Sharifi Sedeh ,  Jordan Lento

IPC: G06F19/26 ,  G16H50/70 ,  G16H50/30 ,  G06F19/24

CPC classification number: G16B45/00 ,  G16B40/00 ,  G16H50/30 ,  G16H50/70

Abstract: 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.