Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule
نویسندگان
چکیده
<span id="docs-internal-guid-b7163134-7fff-29de-9179-24e242f1239b"><span>Limited public health services in remote areas, where the lack of transportation infrastructure, facilities, communication facilities and minimal medical personnel, especially for areas with underdeveloped, foremost, regular (3T) status. The limitation personnel is one factors high mortality rate heart disease. On other hand, development information technology, field computing, very fast era industrial revolution 4.0, but not yet used optimally, sector. This study aims to develop a system or software that can replace doctor process identifying defects based on an expert system. Expert developed certainty factor multiple rule approach. System testing carried out from results validity experts, so test produce value normal 0.95 accuracy level 95%, while (CF) abnormal 0.99 produces 99%.</span></span><br /><div style="mso-element: comment-list;"><div comment;"><div id="_com_1" class="msocomtxt"><!--[if !supportAnnotations]--></div><!--[endif]--></div></div>
منابع مشابه
Implementation of Expert System for Lending With Certainty Factor
Economic activities and investments require resources and capital. Developing countries are faced with limited resource; thereforeو the need to select proper projects is intensified. Our country is not an exception to this rule, where lack of adequate resource allocation and planning has caused many projects to come to a standstill. This paper reports on the implementation of an expert system, ...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملExpert System for Coronary Heart Disease - Built Using Artificial Intelligence
Coronary Heart Disease is a disease which is difficult to diagnose and is vey commonly identified only during the mortality of an individual. The World Health Organization (WHO) reported that 70 per cent deaths occur in subjects less than 70 years of age in India and in other developing countries. Since Coronary Heart Disease (CHD) is becoming an epidemic in India, there is a terrific need for ...
متن کاملToward An IoT-based Expert System for Heart Disease Diagnosis
IoT technology has been recently adopted in the healthcare system to collect Electrocardiogram (ECG) signals for heart disease diagnosis and prediction. However, noises in collected ECG signals make the diagnosis and prediction system unreliable and imprecise. In this work, we have proposed a new lightweight approach to removing noises in collected ECG signals to perform precise diagnosis and p...
متن کاملdata sanitization in association rule mining based on impact factor
data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2021
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v10.i1.pp43-50