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Leveraging Machine Learning to Predict and Assess Disparities in Severe Maternal Morbidity in Maryland.

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Title: Leveraging Machine Learning to Predict and Assess Disparities in Severe Maternal Morbidity in Maryland.
Authors: Li Q; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA., Alfonso YN; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA., Wolfson C; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA., Aziz KB; Johns Hopkins Children's Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA., Creanga AA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.; Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Source: Healthcare (Basel, Switzerland) [Healthcare (Basel)] 2025 Jan 31; Vol. 13 (3). Date of Electronic Publication: 2025 Jan 31.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101666525 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9032 (Print) Linking ISSN: 22279032 NLM ISO Abbreviation: Healthcare (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Li+Q%22">Li Q</searchLink>; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Alfonso+YN%22">Alfonso YN</searchLink>; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Wolfson+C%22">Wolfson C</searchLink>; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Aziz+KB%22">Aziz KB</searchLink>; Johns Hopkins Children's Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Creanga+AA%22">Creanga AA</searchLink>; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.; Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
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  Data: <searchLink fieldCode="JN" term="%22101666525%22">Healthcare (Basel, Switzerland)</searchLink> [Healthcare (Basel)] 2025 Jan 31; Vol. 13 (3). <i>Date of Electronic Publication: </i>2025 Jan 31.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101666525 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2227-9032 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222279032%22">22279032 </searchLink><i>NLM ISO Abbreviation: </i>Healthcare (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/healthcare13030284
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      – Code: eng
        Text: English
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      – TitleFull: Leveraging Machine Learning to Predict and Assess Disparities in Severe Maternal Morbidity in Maryland.
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            – D: 31
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              Text: 2025 Jan 31
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