IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment
The use of intelligent technologies in clinical decision making support may play a promising role in improving the quality of heart disease patients’ life and helping to reduce cost and workload involved in their daily health care in a tele-health environment. The objective of this demo proposal is to demonstrate an intelligent prediction system we developed, called IRS-HD, that accurately advises patients with heart diseases concerning whether they need to take the body test today or not based on the analysis of their medical data during the past a few days. Easy-to-use user friendly interfaces are developed for users to supply necessary inputs to the system and receive recommendations from the system. IRS-HD yields satisfactory recommendation accuracy, offers a promising way for reducing the risk of incorrect recommendations, as well saves the workload for patients to conduct body tests every day.
- 3.Geng, H., Lu, T., Lin, X., Liu, Y., Yan, F.: Prediction of protein-protein interaction sites based on naive bayes classifier. Biochem. Res. Int. 2015 (2015)Google Scholar