Android Based Application for Atherosclerosis Early Detection System Using Artificial Neural Networks

DOI

10.2991/978-94-6463-431-0_8How to use a DOI?

Keywords

Coronary heart disease; atherosclerosis; android; ANN; risk equation

Abstract

Nowadays, Coronary Heart Disease (CHD) is one of the leading health issues in the world. Every year, this disease is the leading cause of death in the world. The number of people who have died from cardiovascular diseases has increased by 17.3 million since 2008. More than three million of these deaths occur before the age of 60. This CHD is primarily caused by atherosclerosis, which is the deposition of fat on the arterial walls. According to the nature of atherosclerosis, which has no symptoms (asymptomatic), the progression varies between individuals, and the presence of several multifactorial factors makes early predictions difficult. Early detection of the causes of CHD is important so that appropriate preventive and treatment measures can be taken to slow down or to treat atherosclerosis.

For this reason, this research aims to develop an Android mobile-based early detection system for atherosclerosis using the Artificial Neural Network (ANN) method which uses primary data from districts hospital medical records in Bali Province – Indonesia for 138 sample subjects.

Based on the results of trials carried out, this system, named ARE (Atherosclerosis Risk Equation), produces a sensitivity value of 95% and a specificity of 93%. These results indicate that ARE can be used as a reference or guideline in the early detection of atherosclerosis in Bali Province, especially as an early effort to prevent the occurrence of coronary heart disease.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Agus Muliantara
AU  - Dewa Ayu Swastini
AU  - A. A. Deva Agung Wijaya
PY  - 2024
DA  - 2024/05/30
TI  - Android Based Application for Atherosclerosis Early Detection System Using Artificial Neural Networks
BT  - Proceedings of selected papers of International Conference on Health, Science, and Environment (ICHSE 2023)
PB  - Atlantis Press
SP  - 63
EP  - 77
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-431-0_8
DO  - 10.2991/978-94-6463-431-0_8
ID  - Muliantara2024
ER  -