Artificial Neural Network and Its Application in Medical Disease Prediction: Review Article

Putri Siswanto, Riries Rulaningtyas

2019

Abstract

Artificial Neural Network (ANN) has gained considerable attention in many fields, including medicine. Despite this, many physicians are still oblivious to the concept of ANN. In this paper, therefore, we attempt to provide an overview of the features of ANN. In addition, performance comparison in medical disease prediction between ANN and regression as a standard statistical technique is also conducted. This is due to the proficiency of ANN in modeling complex, non-linear relationships which makes it highly attractive for diagnostic or prognostic purposes. It can be concluded that ANN has similar performance to, and in some cases, is better than regression.

Paper Citation

in Harvard Style

Siswanto P. and Rulaningtyas R. (2019). Artificial Neural Network and Its Application in Medical Disease Prediction: Review Article.In Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI, ISBN 978-989-758-433-6, pages 17-25. DOI: 10.5220/0009387400170025

in Bibtex Style

@conference{the 4th ice on imeri19,
author={Putri Siswanto and Riries Rulaningtyas},
title={Artificial Neural Network and Its Application in Medical Disease Prediction: Review Article},
booktitle={Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI,},
year={2019},
pages={17-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009387400170025},
isbn={978-989-758-433-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI,
TI - Artificial Neural Network and Its Application in Medical Disease Prediction: Review Article
SN - 978-989-758-433-6
AU - Siswanto P.
AU - Rulaningtyas R.
PY - 2019
SP - 17
EP - 25
DO - 10.5220/0009387400170025