Predictors of warfarin therapeutic dose in cancer patients: a preliminary comparative study using machine learning-integrated explainable artificial intelligence and Bayesian models.
- DOI
- 10.1080/14737140.2026.2682871
- Published
- 2026 Jun 2
- Container
- Expert review of anticancer therapy
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/14737140.2026.2682871,
title = {Predictors of warfarin therapeutic dose in cancer patients: a preliminary comparative study using machine learning-integrated explainable artificial intelligence and Bayesian models.},
author = {Sridharan K and Sivaramakrishnan G and Santoni M},
year = {2026},
journal = {Expert review of anticancer therapy},
doi = {10.1080/14737140.2026.2682871},
url = {https://doi.org/10.1080/14737140.2026.2682871}
}RIS
TY - JOUR TI - Predictors of warfarin therapeutic dose in cancer patients: a preliminary comparative study using machine learning-integrated explainable artificial intelligence and Bayesian models. AU - Sridharan K AU - Sivaramakrishnan G AU - Santoni M PY - 2026 JO - Expert review of anticancer therapy DO - 10.1080/14737140.2026.2682871 UR - https://doi.org/10.1080/14737140.2026.2682871 ER -
APA
K, S., G, S., & M, S. (2026). Predictors of warfarin therapeutic dose in cancer patients: a preliminary comparative study using machine learning-integrated explainable artificial intelligence and Bayesian models.. Expert review of anticancer therapy. https://doi.org/10.1080/14737140.2026.2682871
Source records
- pubmed · retrieved 2026-09-26T11:12:23.982Z