MedicineComputer Science
P. Rani, Rajneesh Kumar, Nada Ahmed, Anurag Jain
tlooto Summary
A hybrid decision support system that can assist in the early detection of heart disease based on the clinical parameters of the patient is proposed and has achieved an accuracy of 86.6%, which is superior to some of the existing heart disease prediction systems found in the literature.
Abstract
Abstract is not available.
Citation format
RANI, P., et al. A decision support system for heart disease prediction based upon machine learning. Journal of Reliable Intelligent Environments, 2021, 7: 263–275.