Optimal machine learning models and factors for global infectious diseases: An ecological analysis
- DOI
- 10.1016/j.imj.2026.100251
- Published
- 2026-06
- Container
- Infectious Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.imj.2026.100251,
title = {Optimal machine learning models and factors for global infectious diseases: An ecological analysis},
author = {Hengliang Lv and Longhao Wang and Xueli Zhang and Caixia Dang and Feng Liu and Zhongyang Liu and Yuanyong Xu and Hui Chen},
year = {2026},
journal = {Infectious Medicine},
doi = {10.1016/j.imj.2026.100251},
url = {https://doi.org/10.1016/j.imj.2026.100251}
}RIS
TY - JOUR TI - Optimal machine learning models and factors for global infectious diseases: An ecological analysis AU - Hengliang Lv AU - Longhao Wang AU - Xueli Zhang AU - Caixia Dang AU - Feng Liu AU - Zhongyang Liu AU - Yuanyong Xu AU - Hui Chen PY - 2026 JO - Infectious Medicine DO - 10.1016/j.imj.2026.100251 UR - https://doi.org/10.1016/j.imj.2026.100251 ER -
APA
Lv, H., Wang, L., Zhang, X., Dang, C., Liu, F., Liu, Z., Xu, Y., & Chen, H. (2026). Optimal machine learning models and factors for global infectious diseases: An ecological analysis. Infectious Medicine. https://doi.org/10.1016/j.imj.2026.100251
Source records
- crossref · retrieved 2026-09-26T12:31:34.822Z