- 专利标题: Determining Visual Frailty Index Using Machine Learning Models
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申请号: US18560081申请日: 2022-05-12
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公开(公告)号: US20240363252A1公开(公告)日: 2024-10-31
- 发明人: Vivek Kumar , Leinani Hession , Gautam Sabnis , Gary Churchill
- 申请人: The Jackson Laboratory
- 申请人地址: US ME Bar Harbor
- 专利权人: The Jackson Laboratory
- 当前专利权人: The Jackson Laboratory
- 当前专利权人地址: US ME Bar Harbor
- 国际申请: PCT/US2022/028986 2022.05.12
- 进入国家日期: 2023-11-09
- 主分类号: G16H50/30
- IPC分类号: G16H50/30 ; G06T7/00 ; G16H30/40
摘要:
Systems and methods described herein provide techniques for determining a visual frailty score by processing video data of a subject. Various features maybe used to determine the visual frailty score, including but not limited to, spinal mobility features, gait measurements, behavior features, and body composition data. The various features may be extracted from the video data using different techniques. The various features may be processed using one or more machine learning models to determine the visual frailty score.
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