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 | 01017 | |
| Number of page(s) | 9 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401017 | |
| Published online | 06 April 2026 | |
- H. Ma, G. Zou, Y. Rao, et al. A multi-state study on the impact of chronic diseases on the healthy life expectancy of the elderly in China; Modern Medicine.DOI:CNKI:SUN:TDYX.0.2025-07-014 (2025) [Google Scholar]
- H. Wu, Y. Wang, J. Ma, Research on software for health monitoring and chronic disease prediction of the elderly, Fujian Computer 36,81-83. https://doi.org/10.16707/j.cnki.fjpc.2020.09.023 (2020) [Google Scholar]
- N. Manandhar, T.P. Raman. Risk factors of hypertension: Logistic regression analysis. SCIREA Journal of Health 1, 32–40 (2016) [Google Scholar]
- D. Barsasella, S. Gupta, S. Malwade, Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension. International Journal of Medical Informatics (2021) [Google Scholar]
- J. F. Sun, Prediction and application of chronic diseases in the elderly based on multi-physiological signs analysis, Guangxi University for Nationalities (Dissertation); DOI:10.27035/d.cnki.ggxmc.2024.000567 (2024) [Google Scholar]
- P. Wang, Research on Multi-label Learning Algorithms and Their Application in Biomedical Data Mining, University of Chinese Academy of Sciences (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences) (2017) [Google Scholar]
- T. Wen, Application of improved long short-term memory network in the prediction of chronic diseases, Dalian Jiaotong University (2019) [Google Scholar]
- N. A. Trayanova, et al. Multimodal AI model for risk stratification in ST-elevation myocardial infarction, Nature. DOI:10.1038/s41586-025-08985-w (2025) [Google Scholar]
- A. V. Khera, et al. Multi-omic integration identifies gene-environment synergies in coronary artery diseases, Circulation. DOI:10.1161/CIRCULATIONAHA.122.062345 (2023) [Google Scholar]
- T. Wen, Application of improved long short-term memory network in the prediction of chronic diseases, M.Sc. thesis, Dalian Jiaotong University; https://doi.org/10.26990/d.cnki.gsltc.2019.000290 (2019) [Google Scholar]
- M. Aly, Bagging ensemble method diagram; ResearchGate Online Repository; https://www.researchgate.net/figure/Bagging-Ensemble-Method-The-diagram-shows-the-bagging-ensemble-method-where-k-random_fig1_335722901 accessed May 2024. (2024) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

