title: Applications of data mining methods in the integrative medical studies of coronary heart disease: progress and prospect.
abstract: A large amount of studies show that real-world study has strong external validity than the traditional randomized controlled trials and can evaluate the effect of interventions in a real clinical setting, which open up a new path for researches of integrative medicine in coronary heart disease. However, clinical data of integrative medicine in coronary heart disease are large in amount and complex in data types, making exploring the appropriate methodology a hot topic. Data mining techniques are to analyze and dig out useful information and knowledge from the mass data to guide people's practices. The present review provides insights for the main features of data mining and their applications of integrative medical studies in coronary heart disease, aiming to analyze the progress and prospect in this field.
authors.affiliation: Department of General Practice, Anzhen Hospital, Capital Medical University, Beijing 100029, China.
authors.forename: Yan
authors.identifier: 0000-0003-3352-9317
authors.initials: Y
authors.lastname: Feng
authors.affiliation: Department of General Practice, Anzhen Hospital, Capital Medical University, Beijing 100029, China.
authors.forename: Yixin
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of General Practice, Anzhen Hospital, Capital Medical University, Beijing 100029, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Guo
authors.affiliation: Department of Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China.
authors.forename: Hao
authors.identifier: 0000-0002-3139-4087
authors.initials: H
authors.lastname: Xu