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Evaluating predictive performance, validity, and applicability of machine learning models for predicting HIV treatment interruption: a systematic review

Crossref DOI link: https://doi.org/10.1186/s44263-025-00184-4

Published Online: 2025-07-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kwarah, Williams

Vroom, Frances Baaba da-Costa

Dwomoh, Duah

Bosomprah, Samuel
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Text and Data Mining valid from 2025-07-24

Version of Record valid from 2025-07-24
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Article History

Received: 11 January 2025

Accepted: 9 July 2025

First Online: 24 July 2025

Declarations

:

: Given that this study is nested within another study on HIV treatment interruptions, ethical approval was received from the Ghana Health Service Ethics Review Committee with approval number GHS-ERC:003/08/24. All ethical principles were followed in this review. Consent to participate is not applicable.

: Not applicable.

: The authors declare no competing interests.

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