Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension.

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作者： Claire M,Owen ^[1] ; Jaume,Bacardit ^[2] ; Maw P,Tan ^[3] ; Nor I,Saedon ^[4] ; Choon-Hian,Goh ^[5] ; Julia L,Newton ^[6] ; James,Frith ^[7]

作者单位： Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. ^[1] Interdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing, Newcastle University, Newcastle upon Tyne, UK. ^[2] Ageing and Age-Associated Disorders Research Group, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.;Centre for Innovations in Medicine Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.;Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Bandar Sunway, Malaysia. ^[3] Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia. ^[4] Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia. ^[5] Health Innovation North East and North Cumbria, Gallowgate, Newcastle upon Tyne, UK. ^[6] Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.;Falls and Syncope Service, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK. ^[7]

关键词 ageing blood pressure cardiovascular physiology cognition frailty haemodynamics orthostatic hypertension orthostatic hypotension