Predicting coronary artery disease with medical profile and gene polymorphisms data

• Main Authors: Chen, Qiongyu, LI, Guoliang, Tze-Yun LEONG, Heng, Chew-Kiat
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Bayesian networks; Coronary artery disease; Data mining; Machine learning; Single nucleotide polymorphisms; Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/3035; https://ink.library.smu.edu.sg/context/sis_research/article/4035/viewcontent/SHTI129_1219.pdf
• Institution: Singapore Management University

Coronary artery disease (CAD) is a main cause of death in the world. Finding cost-effective methods to predict CAD is a major challenge in public health. In this paper, we investigate the combined effects of genetic polymorphisms and non-genetic factors on predicting the risk of CAD by applying well...