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Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

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第一作者： Yanshan,Wang

第一单位： Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. Electronic address: Wang.Yanshan@mayo.edu.

作者： Yanshan,Wang ^[1] ; Yiqing,Zhao ^[2] ; Terry M,Therneau ^[3] ; Elizabeth J,Atkinson ^[3] ; Ahmad P,Tafti ^[2] ; Nan,Zhang ^[2] ; Shreyasee,Amin ^[4] ; Andrew H,Limper ^[5] ; Sundeep,Khosla ^[6] ; Hongfang,Liu ^[7]

作者单位： Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. Electronic address: Wang.Yanshan@mayo.edu. ^[1] Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. ^[2] Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. ^[3] Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA. ^[4] Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA. ^[5] Division of Endocrinology and Kogod Center on Aging, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA. ^[6] Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. Electronic address: Liu.Hongfang@mayo.edu. ^[7]

关键词 Aging Artificial intelligence Electronic health records Epidemiology Unsupervised Machine learning

医学主题词电子健康病历(Electronic Health Records);人类(Humans);模型, 统计学(Models, Statistical)

DOI 10.1016/j.jbi.2019.103364

PMID 31891765

发布时间 2024-03-28

基金项目

R01 AG034676/AG/NIA NIH HHS/United States P01 AG004875/AG/NIA NIH HHS/United States U01 TR002062/TR/NCATS NIH HHS/United States R01 GM102282/GM/NIGMS NIH HHS/United States UL1 TR002377/TR/NCATS NIH HHS/United States R01 LM011934/LM/NLM NIH HHS/United States

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