Invention Grant
- Patent Title: Predicting non-communicable disease with infectious risk factors using artificial intelligence
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Application No.: US16144327Application Date: 2018-09-27
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Publication No.: US11380443B2Publication Date: 2022-07-05
- Inventor: Jing Mei , Chia Yeow Khiang , Roslyn Hickson , Eryu Xia , Shiwan Zhao
- 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: Tutunjian & Bitetto, P.C.
- Agent Joseph Petrokaitis
- Main IPC: G16H50/50
- IPC: G16H50/50 ; G16H50/70 ; G06Q50/00 ; G06N20/00 ; G06F16/901

Abstract:
A computer-implemented method for predicting non-communicable diseases with infectious risk factors using artificial intelligence includes detecting one or more risk factors associated with a non-communicable disease based on a graph associated with person-to-person links, generating a data structure for compactly representing the graph to compute at least one person-to-person distance, and performing a machine learning technique with regularization of the at least one person-to-person distance.
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