Using country-level variables to discover country clusters beyond traditional health policy and performance metrics: An unsupervised machine learning approach for HIV healthcare delivery and financing.
- DOI
- 10.1371/journal.pgph.0004583
- Published
- 2025
- Container
- PLOS global public health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pgph.0004583,
title = {Using country-level variables to discover country clusters beyond traditional health policy and performance metrics: An unsupervised machine learning approach for HIV healthcare delivery and financing.},
author = {Alexiou ZW and Dixit S and Ogbuoji O and Kohler S and Atun R and Terris-Prestholt F and Semini I and Bulstra CA and Bärnighausen T},
year = {2025},
journal = {PLOS global public health},
doi = {10.1371/journal.pgph.0004583},
url = {https://doi.org/10.1371/journal.pgph.0004583}
}RIS
TY - JOUR TI - Using country-level variables to discover country clusters beyond traditional health policy and performance metrics: An unsupervised machine learning approach for HIV healthcare delivery and financing. AU - Alexiou ZW AU - Dixit S AU - Ogbuoji O AU - Kohler S AU - Atun R AU - Terris-Prestholt F AU - Semini I AU - Bulstra CA AU - Bärnighausen T PY - 2025 JO - PLOS global public health DO - 10.1371/journal.pgph.0004583 UR - https://doi.org/10.1371/journal.pgph.0004583 ER -
APA
ZW, A., S, D., O, O., S, K., R, A., F, T., I, S., CA, B., & T, B. (2025). Using country-level variables to discover country clusters beyond traditional health policy and performance metrics: An unsupervised machine learning approach for HIV healthcare delivery and financing.. PLOS global public health. https://doi.org/10.1371/journal.pgph.0004583
Source records
- pubmed · retrieved 2026-09-25T12:56:56.441Z
- europe-pmc · retrieved 2026-09-25T12:56:56.453Z
- doaj · retrieved 2026-09-25T12:56:56.466Z