Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning
Journal of Medical Internet Research2018Vol. 20(1), pp. e22–e22
Citations Over TimeTop 10% of 2018 papers
Chengyin Ye, Tianyun Fu, Shiying Hao, Yan Zhang, Oliver Wang, Bo Jin, Minjie Xia, Modi Liu, Xin Zhou, Qian Wu, Yanting Guo, Chunqing Zhu, Yuming Li, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G. Sylvester, Eric Widen, Doff B. McElhinney, Xuefeng B. Ling
Abstract
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.
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