The prediction of all-cause mortality in end-stage kidney disease patients using social determinants of health: A machine learning framework
- DOI
- 10.1016/j.imu.2026.101779
- Published
- 2026-07
- Container
- Informatics in Medicine Unlocked
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.imu.2026.101779,
title = {The prediction of all-cause mortality in end-stage kidney disease patients using social determinants of health: A machine learning framework},
author = {Addy Smith and Maxwell Donelan and Hossein Moradi Rekabdarkolaee and Patti Brooks and Brandon M. Varilek and Surachat Ngorsuraches and Jerry Schrier and Adam Dell and Semhar Michael},
year = {2026},
journal = {Informatics in Medicine Unlocked},
doi = {10.1016/j.imu.2026.101779},
url = {https://doi.org/10.1016/j.imu.2026.101779}
}RIS
TY - JOUR TI - The prediction of all-cause mortality in end-stage kidney disease patients using social determinants of health: A machine learning framework AU - Addy Smith AU - Maxwell Donelan AU - Hossein Moradi Rekabdarkolaee AU - Patti Brooks AU - Brandon M. Varilek AU - Surachat Ngorsuraches AU - Jerry Schrier AU - Adam Dell AU - Semhar Michael PY - 2026 JO - Informatics in Medicine Unlocked DO - 10.1016/j.imu.2026.101779 UR - https://doi.org/10.1016/j.imu.2026.101779 ER -
APA
Smith, A., Donelan, M., Rekabdarkolaee, H. M., Brooks, P., Varilek, B. M., Ngorsuraches, S., Schrier, J., Dell, A., & Michael, S. (2026). The prediction of all-cause mortality in end-stage kidney disease patients using social determinants of health: A machine learning framework. Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2026.101779
Source records
- crossref · retrieved 2026-09-25T20:41:57.898Z