Invention Grant
- Patent Title: Determining a risk score using a predictive model and medical model data
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Application No.: US14886340Application Date: 2015-10-19
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Publication No.: US10970640B2Publication Date: 2021-04-06
- Inventor: Dhruv A. Bhatt , Kristin E. McNeil , Nitaben A. Patel
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Konrad Raynes Davda & Victor LLP
- Agent Janaki K. Davda
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F40/10 ; G16H50/30 ; G16H50/70 ; G16H15/00 ; G06F40/169 ; G06F40/20

Abstract:
Methods for text analysis of medical study data to extract predictive data. Natural language processing is performed on a document in a collection of documents to determine whether the document contains medical model data. In response to determining that the document contains medical model data, content relating to the medical model data in the document is annotated. A first medical model is generated based on the annotations for the identified medical model data and a certainty threshold In response to the certainty threshold meeting a user setting, the first medical model is added to a predictive model for determining a risk score, based on the analyzed data.
Public/Granted literature
- US20160321423A1 GENERATING PREDICTIVE MODELS BASED ON TEXT ANALYSIS OF MEDICAL STUDY DATA Public/Granted day:2016-11-03
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