A Probabilistic Model to Determine Potential Cardiovascular Diseases Given Individual Lifestyles

Nisafani, Amna Shifia and Wibisono, Arif and Airlangga, Adi Cipta A Probabilistic Model to Determine Potential Cardiovascular Diseases Given Individual Lifestyles. Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI) 9. ISSN 2085-9902

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Heart diseases introduces a great number of fatalities worldwide. The vast majority of heart diseases are due to unhealthy lifestyle. Unfortunately, these lifestyles are widely unknown until the disease appears. This paper aims at developing a probabilistic model that can help individuals to early detect what type of cardiovascular disease that an individual may have if he/she maintain his/her current lifestyle. We identify factors that cause cardiovascular diseases as well as their intertwined relationships by interviewing cardiovascular experts. Subsequently, we construct Bayesian Network (BN) model based on these factors, and conduct sensitivity analysis. From our study, we obtain 14 lifestyles of cardiac and their relationships. Furthermore, there are 15 nodes of BN model to predicts cardiovascular diseases. In addition, based on our sensitivity analysis, we figure that Congenital Diseases, Type of Exercise, Body Mass Index, and Age are the most important factors contributing to cardiovascular diseases

Item Type: Article
Uncontrolled Keywords: Bayesian Networks, Cardiovascular Diseases, Recommendation System
Subjects: Q Science > QA Mathematics > QA402 System analysis.
Divisions: Faculty of Information Technology > Information System
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 28 Aug 2018 08:05
Last Modified: 29 Aug 2018 01:06
URI: http://repository.its.ac.id/id/eprint/59510

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