(function(doc, html, url) { var widget = doc.createElement("div"); widget.innerHTML = html; var script = doc.currentScript; // e = a.currentScript; if (!script) { var scripts = doc.scripts; for (var i = 0; i < scripts.length; ++i) { script = scripts[i]; if (script.src && script.src.indexOf(url) != -1) break; } } script.parentElement.replaceChild(widget, script); }(document, '

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.

Read more on Kudos…
The following have contributed to this page:
Raid Lafta and Fulong Chen
' ,"url"));