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Predicting low birth weight in Bangladesh using interpretable machine learning models.

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Title: Predicting low birth weight in Bangladesh using interpretable machine learning models.
Authors: Sharma SKD; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh. samrat.sdev@gmail.com., Ador MYH; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh., Rukonuzzaman M; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh., Chakma F; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh., Hossen M; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh., Hossain J; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh., Kamruzzaman M; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.
Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2026 May 27. Date of Electronic Publication: 2026 May 27.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Predicting low birth weight in Bangladesh using interpretable machine learning models.
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  Data: <searchLink fieldCode="AU" term="%22Sharma+SKD%22">Sharma SKD</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh. samrat.sdev@gmail.com.<br /><searchLink fieldCode="AU" term="%22Ador+MYH%22">Ador MYH</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Rukonuzzaman+M%22">Rukonuzzaman M</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Chakma+F%22">Chakma F</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Hossen+M%22">Hossen M</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Hossain+J%22">Hossain J</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Kamruzzaman+M%22">Kamruzzaman M</searchLink>; Department of Statistics, Jagannath University, Dhaka, 1100, Bangladesh.
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  Data: <searchLink fieldCode="JN" term="%22100967799%22">BMC pregnancy and childbirth</searchLink> [BMC Pregnancy Childbirth] 2026 May 27. <i>Date of Electronic Publication: </i>2026 May 27.
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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>100967799 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2393 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712393%22">14712393 </searchLink><i>NLM ISO Abbreviation: </i>BMC Pregnancy Childbirth <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1186/s12884-026-09255-2
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      – Code: eng
        Text: English
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      – TitleFull: Predicting low birth weight in Bangladesh using interpretable machine learning models.
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          Dates:
            – D: 27
              M: 05
              Text: 2026 May 27
              Type: published
              Y: 2026
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