Announcement iconContinuing Accepting Applications for Admission !!
for the Spring Semester of the Academic Year 2019/2020

Semi-Automatic Assistance System for Heart Diseases Detection

Authors: 
Rami Hodrob , Rafat Amarneh , Heba Al Salaeh
Journal Name: 
Journal of Emerging Trends in Computing and Information Sciences
Volume: 
4
Issue: 
9
Pages From: 
708
To: 
714
Date: 
Sunday, September 1, 2013
Keywords: 
software engineering, algorithm, user friendly
Abstract: 
This research is mainly concerned with enabling new heart specialist doctors to detect patients’ heart diseases in a semiautomatic manner. The system we built is a web application system that also enables the share of health knowledge between the doctors and patients. Assisting the doctors in detecting heart diseases by enhancing and implementing a specified algorithm is an essential part in heart diseases detection knowledge because the system provides practical knowledge in a semi-automated mechanism for heart specialist doctors especially fresh specialized ones. Unfortunately, many mistakes happen during the detection of heart diseases. An approach to circumvent the errors in heart detection diseases is by employing a specific algorithm within a web application system in a user friendly way that assist the intended doctors in developing their practical skills and minimize any detection errors. Our research is aimed at checking and proofing the appropriateness of auto-detection of heart diseases to be used in applying client doctor-interfaces in heart diseases detection. In addition doctors can carry out a practical training by exercising many heart diseases cases using our system.