- 专利标题: MEDICAL DATA COLLECTION FOR MACHINE LEARNING
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申请号: EP19161895.8申请日: 2019-03-11
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公开(公告)号: EP3709309A1公开(公告)日: 2020-09-16
- 发明人: EWALD, Arne , NIELSEN, Tim , SOMMER, Karsten , WAECHTER-STEHLE, Irina , SCHUELKE, Christophe , WEBER, Frank Michael , WEESE, Rolf Jürgen , PETERS, Jochen
- 申请人: Koninklijke Philips N.V.
- 申请人地址: High Tech Campus 52 5656 AG Eindhoven NL
- 专利权人: Koninklijke Philips N.V.
- 当前专利权人: Koninklijke Philips N.V.
- 当前专利权人地址: High Tech Campus 52 5656 AG Eindhoven NL
- 代理机构: de Haan, Poul Erik
- 主分类号: G16H50/70
- IPC分类号: G16H50/70 ; G16H30/40
摘要:
A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.
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