Article
Machine learning algorithm-based risk prediction model of coronary artery disease.
Molecular biology reports - 1 Oct 2018
Naushad Shaik Mohammad, Hussain Tajamul, Indumathi Bobbala, Samreen Khatoon, Alrokayan Salman A, Kutala Vijay Kumar
Abstract excerpt
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic risk factors of 648 subjects (364 cases of CAD and 284 healthy controls) was used as the basis to develop CAD risk and percentage stenosis prediction models using...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.