title: The establishment of Bayesian Coronary Artery Disease Prediction model.
abstract: This poster will demonstrate how we build up the module of Bayesian Coronary Artery Disease Predicting Evidence-Based Medicine. The system-module may help the young professional understand the effect of factors for referring patients to take the invasive examination of Angiographic.Moreover, the non-invasive information-tech also can perform as the screening tool on a clinical or a community-based epidemiology.
authors.affiliation: School of Public Health, Medical College of National Defense University, Taipei, Taiwan.chuchiming@ndmctsgh.edu.tw
authors.forename: Chi-Ming
authors.initials: CM
authors.lastname: Chu
authors.forename: Hui-Jen
authors.initials: HJ
authors.lastname: Tscai
authors.forename: Nian-Feng
authors.initials: NF
authors.lastname: Chu
authors.forename: Lu
authors.initials: L
authors.lastname: Pai
authors.forename: Thomas
authors.initials: T
authors.lastname: Wetter
authors.forename: Cien-An
authors.initials: CA
authors.lastname: Sun
authors.forename: Jin-Ding
authors.initials: JD
authors.lastname: Lin
authors.forename: Tsan
authors.initials: T
authors.lastname: Yang
authors.forename: Cien-Yu
authors.initials: CY
authors.lastname: Pai
authors.forename: Hans-Bernd
authors.initials: HB
authors.lastname: Bludau
mesh_terms: D001499:Bayes Theorem; D003324:Coronary Artery Disease; D005103:Expert Systems; D006801:Humans; D051188:Knowledge Bases; D012680:Sensitivity and Specificity