公开(公告)号：US20210038166A1

公开(公告)日：2021-02-11

申请号：US16985375

申请日：2020-08-05

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL ,  Smadar SHILO ,  Hagai ROSSMAN

IPC: A61B5/00 ,  A61B5/145 ,  G06N20/00 ,  G16H10/60 ,  G16H10/20

Abstract: A method of predicting likelihood for childhood obesity, comprises: obtaining a plurality of parameters, wherein at least a few of the parameters characterize an infant or toddler subject. A machine learning procedure trained for predicting likelihoods for childhood obesity is feed with the plurality of parameters. An output indicative of a likelihood that the infant or toddler subject is expected to develop childhood obesity is received from the procedure. The output is related non-linearly to the parameters.