公开(公告)号：US11315685B2

公开(公告)日：2022-04-26

申请号：US15415758

申请日：2017-01-25

申请人： UCB BIOPHARMA SPRL

发明人： Kunal Malhotra ,  Sungtae An ,  Jimeng Sun ,  Myung Choi ,  Cynthia Dilley ,  Chris Clark ,  Joseph Robertson ,  Edward Han-Burgess

IPC分类号： G16H50/20 ,  A61B5/00 ,  G16H10/60 ,  G16H70/40 ,  G16H50/70

摘要： A method of building a machine learning pipeline for predicting the efficacy of anti-epilepsy drug treatment regimens is provided. The method includes providing electronic health records data; constructing a patient cohort from the electronic health records data by selecting patients based on a defined target variable indicating anti-epilepsy drug treatment regimen efficacy; constructing a set features found in or derived from the electronic health records data; electronically processing the patient cohort to identify a subset of the features that are predictive for anti-epilepsy drug treatment regimen efficacy for inclusion in predictive models configured for generating predictions representative of efficacy for a plurality of anti-epilepsy drug treatment regimens; and training the predictive computerized model to generate predictions representative of efficacy for a plurality of anti-epilepsy drug treatment regimens for the patients based on the defined target variable indicating anti-epilepsy drug treatment regimen efficacy.