A machine learning approach to conglomerate multi-domain features of cardiac aging
- DOI
- 10.1093/ehjdh/ztag136
- Published
- 2026-07-29
- Container
- European Heart Journal - Digital Health
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/ehjdh/ztag136,
title = {A machine learning approach to conglomerate multi-domain features of cardiac aging},
author = {Glades H M Tan and Enyu Yang and Bryan Z Y Tan and Hane Naghshbandi and Johnathan Loh and Xinliu Zhong and Jun Liu and Daniel J Lim and Fei Gao and Jean-Paul Kovalik and Ru-San Tan and Si Yong Yeo and Angela S Koh},
year = {2026},
journal = {European Heart Journal - Digital Health},
doi = {10.1093/ehjdh/ztag136},
url = {https://doi.org/10.1093/ehjdh/ztag136}
}RIS
TY - JOUR TI - A machine learning approach to conglomerate multi-domain features of cardiac aging AU - Glades H M Tan AU - Enyu Yang AU - Bryan Z Y Tan AU - Hane Naghshbandi AU - Johnathan Loh AU - Xinliu Zhong AU - Jun Liu AU - Daniel J Lim AU - Fei Gao AU - Jean-Paul Kovalik AU - Ru-San Tan AU - Si Yong Yeo AU - Angela S Koh PY - 2026 JO - European Heart Journal - Digital Health DO - 10.1093/ehjdh/ztag136 UR - https://doi.org/10.1093/ehjdh/ztag136 ER -
APA
Tan, G. H. M., Yang, E., Tan, B. Z. Y., Naghshbandi, H., Loh, J., Zhong, X., Liu, J., Lim, D. J., Gao, F., Kovalik, J., Tan, R., Yeo, S. Y., & Koh, A. S. (2026). A machine learning approach to conglomerate multi-domain features of cardiac aging. European Heart Journal - Digital Health. https://doi.org/10.1093/ehjdh/ztag136
Source records
- crossref · retrieved 2026-09-25T14:18:32.794Z