An intelligent recommender system based on predictive analysis in telehealthcare environment
What is it about?
This paper is offering an intelligent recommender system, supported by several innovative predictive algorithms, for short-term risk assessment on patients in telehealth environment based on analytic of a patient's historical medical data.
Why is it important?
The system provides recommendations to patients such as heart diseases patients in relation to the necessity of medical tests taken on a daily basis. The research is conducted with an aim at improving the quality of clinical evidenced-based decisions made by medical practitioners to help reduce the financial and timing cost taken by patients.
The following have contributed to this page: Raid Lafta and Fulong Chen
In partnership with: