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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting

Crossref DOI link: https://doi.org/10.1186/s12911-025-03030-7

Published Online: 2025-05-19

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

Authors

Endebu, Tamrat

Taye, Girma

Deressa, Wakgari
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Text and Data Mining valid from 2025-05-19

Version of Record valid from 2025-05-19
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Article History

Received: 14 October 2024

Accepted: 12 May 2025

First Online: 19 May 2025

Declarations

:

: This study was approved by the Ethical Review Committee of the College of Health Sciences, Addis Ababa University (Approval No. 061/23/SPH, September 20, 2023). The ethics committee waived the requirement for individual informed consent, as the study used deidentified secondary data. All the data were treated with strict confidentiality and used solely for the purposes of this research. The study was conducted in accordance with the ethical principles of the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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