NDOL: An Enhanced Heart Disease Prediction System Using Artificial Intelligence (AI) Assisted Neural Decision Optimization Logic

K. Venkatasalam, M. Desikan, S. Kalai Selvan, B. Saranraj, A. Sowkath Basha

2025

Abstract

Since cardiovascular diseases (CVD) remain one of the global leading causes of mortality, the urgent need for new diagnostics and preventative therapies is evident. These are classified as a significant physical condition leading to a high probability of death. Heart disease must then be diagnosed effectively and quickly to avoid further harm to individuals. This study thus investigates whether a learning technique derived from Artificial Intelligence (AI)- Neural Decision Optimization Logic (NDOL) - can be used to predict cardiac illnesses to enable timely treatments and personalized healthcare plans. The suggested model is cross-validated with a common learning model, Support Vector Machine (SVM) to investigate how well the proposed model performs. ML tech, applied to vast volumes of data to identify complex patterns and possibilities of danger from certain combinations that the naked eye cannot see, is what enables these ML models. Some of the important technologies used to predict the probability of heart disease are neural networks, decision trees, and ensemble learning. Also, this study further demonstrates the implementation of artificial intelligence technologies in the clinical workflow to give timely risk assessment and improve patient care and resource distribution. The goal of proactive and precision medicine may be within our reach through AI-enabled heart disease prediction which will combine technical ingenuity with medical expertise to revolutionize cardiovascular health care.

Paper Citation

in Harvard Style

Venkatasalam K., Desikan M., Selvan S., Saranraj B. and Basha A. (2025). NDOL: An Enhanced Heart Disease Prediction System Using Artificial Intelligence (AI) Assisted Neural Decision Optimization Logic. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 672-679. DOI: 10.5220/0013871100004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Venkatasalam and M. Desikan and S. Selvan and B. Saranraj and A. Basha},
title={NDOL: An Enhanced Heart Disease Prediction System Using Artificial Intelligence (AI) Assisted Neural Decision Optimization Logic},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={672-679},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013871100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - NDOL: An Enhanced Heart Disease Prediction System Using Artificial Intelligence (AI) Assisted Neural Decision Optimization Logic
SN - 978-989-758-777-1
AU - Venkatasalam K.
AU - Desikan M.
AU - Selvan S.
AU - Saranraj B.
AU - Basha A.
PY - 2025
SP - 672
EP - 679
DO - 10.5220/0013871100004919
PB - SciTePress