公开(公告)号：US20230087336A1

公开(公告)日：2023-03-23

申请号：US17933991

申请日：2022-09-21

申请人： Institute for Systems Biology

发明人： Jennifer Hadlock ,  Jewel Lee

IPC分类号： G06F11/07 ,  G06N7/00

摘要： Machine-learning processing of aggregate data including record-size data to predict failure probability is described herein. In an example, a system identifies electronic data that is longitudinal and includes a set of electronic records pertaining to a given subject or to a given object. The system generates a record-size metric that characterizes a size of the electronic data and determines a physical attribute of the given subject or the given object. The system generates a physical-attribute metric based on the physical attribute, generates an input data set that includes the record-size metric and the physical-attribute metric, and generates a failure probability across a given time period and for the given subject or the given object by processing the input data set using a trained machine-learning model. The system determines that an alert condition is satisfied based on the failure probability and outputs an alert representing the failure probability.