公开(公告)号：US11972443B2

公开(公告)日：2024-04-30

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: G06Q30/00 ,  G06Q30/02 ,  G06Q30/0201

CPC classification number: G06Q30/02 ,  G06Q30/0201

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.