公开(公告)号：US20200178903A1

公开(公告)日：2020-06-11

申请号：US16215128

申请日：2018-12-10

Applicant: General Electric Company

Inventor： Rupanjali Chaudhuri ,  Rohit Pardasani ,  Hariharan Ravishankar ,  Guy Vesto

IPC: A61B5/00 ,  A61B5/08 ,  A61B5/021 ,  A61B5/0245 ,  A61B5/1455 ,  G06N20/00 ,  G16H50/30

Abstract: A method of monitoring a patient with respect to a particular medical condition includes providing a machine learning model trained to assign a weight to each of a predefined set of features so as to calculate a risk severity index of a particular medical condition. A long time interval of time-synchronized parameter data is received for each of at least two physiological parameters, and the long time interval is divided into multiple segments each containing a predefined time increment of the parameter data. A set of feature values are determined for the segment based on the parameter data therein, including a feature value for each of the predefined set of features related to the particular medical condition. With the trained machine learning model, assigning a weight to each of the predefined set of features, and then a risk severity index of the particular medical condition is calculated for the long time interval based on the set of feature values.