Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

Abstract Background Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a p...

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Autors principals:	Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-01-01
Col·lecció:	BMC Medical Informatics and Decision Making
Matèries:	Machine Learning Longer duration diarrhea Pediatric Prediction
Accés en línia:	https://doi.org/10.1186/s12911-025-02855-6
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

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