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 LingPublished 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.