Explainable machine learning identifies diagnostic patterns for paediatric respiratory diseases in a high-dimensional underrepresented South African dataset
- DOI
- 10.1186/s12911-026-03730-8
- Published
- 2026-08-05
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03730-8,
title = {Explainable machine learning identifies diagnostic patterns for paediatric respiratory diseases in a high-dimensional underrepresented South African dataset},
author = {Rohail Hershil Bhana and Charl Verwey and Krupa Prag and Avnish Bhowan Magan},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03730-8},
url = {https://doi.org/10.1186/s12911-026-03730-8}
}RIS
TY - JOUR TI - Explainable machine learning identifies diagnostic patterns for paediatric respiratory diseases in a high-dimensional underrepresented South African dataset AU - Rohail Hershil Bhana AU - Charl Verwey AU - Krupa Prag AU - Avnish Bhowan Magan PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03730-8 UR - https://doi.org/10.1186/s12911-026-03730-8 ER -
APA
Bhana, R. H., Verwey, C., Prag, K., & Magan, A. B. (2026). Explainable machine learning identifies diagnostic patterns for paediatric respiratory diseases in a high-dimensional underrepresented South African dataset. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03730-8
Source records
- crossref · retrieved 2026-11-07T10:51:21.296Z