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Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.

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Title: Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.
Authors: Bitew KG; Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia. kerebih_getinet@dmu.edu.et.; Department of Computer Science, Debre Markos University, Debre Markos, Ethiopia. kerebih_getinet@dmu.edu.et., Assabie Y; Department of Computer Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia., Tegegne T; Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 May 21; Vol. 26 (1). Date of Electronic Publication: 2026 May 21.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.
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  Data: <searchLink fieldCode="AU" term="%22Bitew+KG%22">Bitew KG</searchLink>; Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia. kerebih_getinet@dmu.edu.et.; Department of Computer Science, Debre Markos University, Debre Markos, Ethiopia. kerebih_getinet@dmu.edu.et.<br /><searchLink fieldCode="AU" term="%22Assabie+Y%22">Assabie Y</searchLink>; Department of Computer Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Tegegne+T%22">Tegegne T</searchLink>; Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia.
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  Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2026 May 21; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 May 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12911-026-03567-1
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      – Code: eng
        Text: English
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      – TitleFull: Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.
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            NameFull: Bitew KG
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            – D: 21
              M: 05
              Text: 2026 May 21
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              Y: 2026
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