Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries

This project is part of the EDCTP2 programme (grant number RIA2020I-3294 IMPALA) supported by the European Union.

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Journal
EClinicalMedicine
Published
2026-01-01
DOI
https://doi.org/10.1016/j.eclinm.2025.103743
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries

William Nkhono, Eva van Lieshout, María José Villalobos-Quesada, Violet Naanyu et al.
EClinicalMedicine
Artificial Intelligence in Healthcare and Education
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Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries

William Nkhono, Eva van Lieshout, María José Villalobos-Quesada, Violet Naanyu, Kamija S. Phiri, Job Calis
article en

Abstract

This project is part of the EDCTP2 programme (grant number RIA2020I-3294 IMPALA) supported by the European Union.

EClinicalMedicineVol. 91
Moi University (KE), Leiden University Medical Center (NL), Kamuzu Central Hospital (MW), Emma Kinderziekenhuis (NL), True (United States) (US), Amsterdam Institute for Global Health and Development (NL), Vrije Universiteit Amsterdam (NL)
European Commission, European and Developing Countries Clinical Trials Partnership
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare and Education
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