公开(公告)号：US20220328185A1

公开(公告)日：2022-10-13

申请号：US17614024

申请日：2020-05-24

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL ,  Smadar SHILO ,  Nitzan ARTZI

IPC: G16H50/20 ,  G16H50/30 ,  G16H10/60 ,  G16H50/70 ,  G16H10/20

Abstract: A method of predicting likelihood for gestational diabetes, comprises: obtaining a plurality of parameters characterizing a female subject, accessing a computer readable medium storing a machine learning procedure trained for predicting likelihoods for gestational diabetes, feeding the procedure with the plurality of parameters, and receiving from the procedure an output indicative of a likelihood that the subject has, or expected to develop, gestational diabetes, wherein the output indicative is related non-linearly to the parameters.