Invention Application
- Patent Title: SYNTHESIS FOR RISK PREDICTION MODELS
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Application No.: US17315853Application Date: 2021-05-10
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Publication No.: US20220359075A1Publication Date: 2022-11-10
- Inventor: Ze Fang Tang , Yuan Zhang , Yi Qin Yu , Jing Mei
- 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
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G16H50/50 ; G16H70/60

Abstract:
This disclosure relates to a method, a system and a computer program product for synthesizing risk prediction models to generate a generalized risk prediction model for a particular disease. The method comprises retrieving a plurality of literatures from one or more databases. Each of the plurality of literatures defines a risk prediction model for a same disease. The method further comprises extracting study features from each of the plurality of literatures. The method further comprises extracting weights of risk factors in the risk prediction model defined by each of the plurality of literatures from the plurality of literatures. The method further comprises calculating adjusted weights of risk factors based on the extracted study features and the extracted weights of risk factors, to form an adjusted risk prediction model.
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