Machine Learning for Predicting Human Drug-Induced Cardiotoxicity: A Scoping Review
This review underscores the importance of integrating heterogeneous data and rigorous validation for improving cardiotoxicity prediction.
Authors
- M Kim (ORCID: https://orcid.org/0000-0002-8718-8469)
- KeunOh Choi
- Myeong Gyu Kim (ORCID: https://orcid.org/0000-0002-5593-7672)
- Shulin Ju (ORCID: https://orcid.org/0000-0002-4816-7737)
- Hyun Woo Kim (ORCID: https://orcid.org/0000-0003-2473-8360)
- Ja‐Young Han
Institutions
- Ewha Womans University (KR)
- Dongguk University (KR)
- Korea Institute of Nuclear Safety (KR)
Publication Details
- Journal
- Toxics
- Published
- 2025-12-17
- DOI
- https://doi.org/10.3390/toxics13121087
- Primary Topic
- Chemotherapy-induced cardiotoxicity and mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea