Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 7 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401010 | |
| Published online | 06 April 2026 | |
- J. Y. Zhong, T. Y. Zhang, B. X. Chi, et al. Construction of Heart Disease Prediction Model and Visual Decision Support Research Based on Multimodal Data Fusion. Computer Campus, (19):297–299. (2025) [Google Scholar]
- M. M. Ali, B. K. Paul, K. Ahmed, et al. Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Computers in biology and medicine, 136, 104672. (2021) [Google Scholar]
- D. Shah, S. Patel. & S. K. Bharti. Heart Disease Prediction using Machine Learning Techniques. SN COMPUT. SCI. 1, 345 (2020) [Google Scholar]
- Y. H. Hu, W. C. Lin, C. F. Tsai, S. W. Ke, & C. W. Chen. An efficient data preprocessing approach for large scale medical data mining. Technology and health care: official journal of the European Society for Engineering and Medicine, 23(2), 153–160. (2015) [Google Scholar]
- Q. Q. Wang, S. C. Yu, X. Qi, et al. Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine], 53(9), 955–960. (2019) [Google Scholar]
- J. C. Stoltzfus. Logistic regression: a brief primer. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 18(10), 1099–1104. (2011) [Google Scholar]
- J. Hu, & S. Szymczak. A review on longitudinal data analysis with random forest. Briefings in bioinformatics, 24(2), bbad002. (2023) [Google Scholar]
- D. Valkenborg, A. J. Rousseau, M. Geubbelmans, & T. Burzykowski. Support vector machines. American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics, 164(5), 754–757. (2023) [Google Scholar]
- V. Podgorelec, P. Kokol, B. Stiglic, & I. Rozman. Decision trees: an overview and their use in medicine. Journal of medical systems, 26(5), 445–463. (2002) [Google Scholar]
- J. Muschelli. ROC and AUC with a binary predictor: a potentially misleading metric. Journal of classification, 37(3), 696–708. (2020) [Google Scholar]
- A. M. Carrington, D. G. Manuel, P. W. Fieguth, et al. Deep ROC analysis and AUC as balanced average accuracy, for improved classifier selection, audit and explanation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1), 329–341. (2022) [Google Scholar]
- J. Huang, & C. X. Ling. Using AUC and accuracy in evaluating learning algorithms. IEEE Transactions on knowledge and Data Engineering, 17(3), 299–310. (2005) [Google Scholar]
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