Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania

OBJECTIVE: We aimed to determine the key predictors of perinatal deaths using machine learning models compared with the logistic regression model. DESIGN: A secondary data analysis using the Kilimanjaro Christian Medical Centre (KCMC) Medical Birth Registry cohort from 2000 to 2015. We assessed the...

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Detalles Bibliográficos
Autores principales: Mboya, Innocent B, Mahande, Michael J, Mohammed, Mohanad, Obure, Joseph, Mwambi, Henry G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Paediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574940/
https://www.ncbi.nlm.nih.gov/pubmed/33077570
http://dx.doi.org/10.1136/bmjopen-2020-040132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574940/
https://www.ncbi.nlm.nih.gov/pubmed/33077570
http://dx.doi.org/10.1136/bmjopen-2020-040132

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