Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data
Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data is a scholarly work by Jaram Park, Jeong-Whun Kim, Borim Ryu, Eunyoung Heo, Se Young Jung, and Sooyoung Yoo, published in 2019 in ''Journal of Medical Internet Research''. The main subjects of the publication include predictive power, artificial intelligence, random forest, medicine, health informatics, Generalizability theory, machine learning, cohort, Framingham Risk Score, computer science, health care, and arterial hypertension. The authors developed and compared machine learning models predicting high-risk vascular diseases in hypertensive patients so that they may manage their blood pressure based on their risk level.