- 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: US11977985B2公开(公告)日: 2024-05-07
- 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
- 代理机构: ALSTON & BIRD LLP
- 主分类号: G06N3/0895
- IPC分类号: G06N3/0895 ; G06F16/23 ; G06N3/045 ; G06N3/08 ; G06N3/088 ; G06N3/09 ; G06N3/0985 ; G06N20/00 ; G16H50/20
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.
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