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  • [\'School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.\', \'Department of Medicine, NYU Langone Health, New York, NY, USA.\', \'Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.\', \'Wellframe, Boston, MA, USA.\', \'Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.\', \'Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.\', \'Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.\']
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  • -1
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?:doi
  • 10.1016/S2589-7500(20)30186-2
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?:journal
  • The Lancet. Digital health
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?:pmid
  • 32864600
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  • -1.0
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  • -1
?:title
  • The myth of generalisability in clinical research and machine learning in health care.
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?:year
  • 2020

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