- 专利标题: MACHINE LEARNING TECHNIQUES FOR PREDICTIVE PRIORITIZATION
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申请号: US17096062申请日: 2020-11-12
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公开(公告)号: US20220147865A1公开(公告)日: 2022-05-12
- 发明人: Darrel Naidoo , Paul J. Godden , Gregory J. Boss , Peter M. Wahl
- 申请人: Optum, Inc.
- 申请人地址: US MN Minnetonka
- 专利权人: Optum, Inc.
- 当前专利权人: Optum, Inc.
- 当前专利权人地址: US MN Minnetonka
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06F16/23
摘要:
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive prioritization. Certain embodiments utilize systems, methods, and computer program products that perform predictive prioritization using a combination of supervised machine learning models and unsupervised machine learning models that are in turn used to generate target features for a resultant prioritization machine learning model.
公开/授权文献
- US11977985B2 Machine learning techniques for predictive prioritization 公开/授权日:2024-05-07
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