Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)

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Regression Analysis for Elderly Heart Disease Prediction

Authors
Paing Kaung Thant1, Nyi Nyein Aung1, Wanus Srimaharaj1, *
1The International College, Payap University, Chiang Mai, 50000, Thailand
*Corresponding author. Email: wanus_s@payap.ac.th
Corresponding Author
Wanus Srimaharaj
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-831-8_17How to use a DOI?
Keywords
Heart Disease; Elderly Patients; Logistic Regression
Abstract

Prediction of heart disease in elderly populations represents a significant challenge in healthcare. This study develops a logistic regression model to predict heart disease in patients aged 65 and older using a dataset of 273 samples. Features include cholesterol (binned into low and high), smoking status, exercise-induced angina, and chest pain type. The model achieves a cross-validation accuracy of 0.76 ± 0.07, a test set accuracy of 0.76, and an ROC-AUC of 0.83. Statistical analysis reveals high cholesterol as the only significant predictor (p < 0.001). Comparison with prior research highlights dataset-specific differences, suggesting future exploration with larger datasets.

Copyright
© 2025 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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Volume Title
Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
Series
Advances in Health Sciences Research
Publication Date
31 August 2025
ISBN
978-94-6463-831-8
ISSN
2468-5739
DOI
10.2991/978-94-6463-831-8_17How to use a DOI?
Copyright
© 2025 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.

Cite this article

risenwbib
TY  - CONF
AU  - Paing Kaung Thant
AU  - Nyi Nyein Aung
AU  - Wanus Srimaharaj
PY  - 2025
DA  - 2025/08/31
TI  - Regression Analysis for Elderly Heart Disease Prediction
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 135
EP  - 140
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_17
DO  - 10.2991/978-94-6463-831-8_17
ID  - Thant2025
ER  -