Invention Grant
- Patent Title: Hybrid analysis framework for prediction of outcomes in clinical trials
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Application No.: US16578980Application Date: 2019-09-23
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Publication No.: US11101043B2Publication Date: 2021-08-24
- Inventor: Ramanathan Krishnan , John Domenech , Rajagopal Jagannathan , Sharath Makki Shankaranarayana
- Applicant: Zasti Inc.
- Applicant Address: US VA Oakton
- Assignee: Zasti Inc.
- Current Assignee: Zasti Inc.
- Current Assignee Address: US VA Oakton
- Agency: Seed IP Law Group LLP
- Main IPC: G16H50/50
- IPC: G16H50/50 ; G06N3/08 ; G16H10/20 ; G06N20/20 ; G16H50/70 ; G16H50/20 ; G06N3/04

Abstract:
A facility for predicting patient outcomes on the basis of clinical trials is described. The facility obtains information describing one or more completed clinical trials, and extracts features from the obtained clinical trial information. The facility uses the extracted features to train both a time-series data model for predicting clinical outcomes and a non-time-series data model for predicting clinical outcomes. The facility applies these trained models to information describing a subject patient to predict a clinical outcome for the subject patient.
Public/Granted literature
- US20200098451A1 HYBRID ANALYSIS FRAMEWORK FOR PREDICTION OF OUTCOMES IN CLINICAL TRIALS Public/Granted day:2020-03-26
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