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Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.

Chengyin YeTianyun FuShiying HaoYan ZhangOliver WangBo JinMinjie XiaModi LiuXin ZhouQian WuYanting GuoChunqing ZhuYu-Ming LiDevore S CulverShaun T AlfredsFrank StearnsKarl G SylvesterEric WidenDoff B McElhinneyXuefeng Bruce Ling
Published in: Journal of medical Internet research (2018)
With statewide EHR datasets, our study prospectively validated an accurate 1-year risk prediction model for incident essential hypertension. Our real-time predictive analytic model has been deployed in the state of Maine, providing implications in interventions for hypertension and related diseases and hopefully enhancing hypertension care.
Keyphrases
  • blood pressure
  • electronic health record
  • machine learning
  • cardiovascular disease
  • healthcare
  • physical activity
  • palliative care
  • arterial hypertension
  • adverse drug
  • big data
  • chronic pain
  • deep learning
  • drug induced