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Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation.

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第一作者： Walter,Nelson

第一单位： Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.;Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada.

作者： Walter,Nelson ^[1] ; Nityan,Khanna ^[2] ; Mohamed,Ibrahim ^[2] ; Justin,Fyfe ^[3] ; Maxwell,Geiger ^[4] ; Keith,Edwards ^[5] ; Jeremy,Petch ^[6]

作者单位： Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.;Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada. ^[1] Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada. ^[2] Fyfe Software, Hamilton, ON, Canada. ^[3] Department of Biology, University of Hawaii, Hilo, HI, United States. ^[4] Department of Computer Science, University of Hawaii, Hilo, HI, United States. ^[5] Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.;Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.;Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada.;Population Health Research Institute, McMaster University, Hamilton, ON, Canada. ^[6]

关键词 Bayesian optimization FEBRL computerized data linkage electronic health records health care system machine learning master index master patient index matching algorithm medical record linkage medical record systems open-source software pilot quality of care record link

DOI 10.2196/44331

PMID 37384382

发布时间 2023-07-26

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