Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

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Title: Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.
Authors: Owusu FO; Juaben Government Hospital, Juaben, Ghana., Addai-Manu H; Juaben Government Hospital, Juaben, Ghana.; Onwe Government Hospital, Onwe, Ghana., Agbedinu ES; Juaben Government Hospital, Juaben, Ghana., Konadu E; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Asenso L; Juaben Government Hospital, Juaben, Ghana., Addae M; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Osarfo J; Department of Community Health, School of Medicine, University of Health and Allied Health Sciences, Ho, Ghana., Ampah BA; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Opoku DA; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. douglasopokuaninng@gmail.com.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. douglasopokuaninng@gmail.com.
Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Jul 02; Vol. 25 (1), pp. 690. Date of Electronic Publication: 2025 Jul 02.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: 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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  Data: Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.
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  Data: <searchLink fieldCode="AU" term="%22Owusu+FO%22">Owusu FO</searchLink>; Juaben Government Hospital, Juaben, Ghana.<br /><searchLink fieldCode="AU" term="%22Addai-Manu+H%22">Addai-Manu H</searchLink>; Juaben Government Hospital, Juaben, Ghana.; Onwe Government Hospital, Onwe, Ghana.<br /><searchLink fieldCode="AU" term="%22Agbedinu+ES%22">Agbedinu ES</searchLink>; Juaben Government Hospital, Juaben, Ghana.<br /><searchLink fieldCode="AU" term="%22Konadu+E%22">Konadu E</searchLink>; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.<br /><searchLink fieldCode="AU" term="%22Asenso+L%22">Asenso L</searchLink>; Juaben Government Hospital, Juaben, Ghana.<br /><searchLink fieldCode="AU" term="%22Addae+M%22">Addae M</searchLink>; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.<br /><searchLink fieldCode="AU" term="%22Osarfo+J%22">Osarfo J</searchLink>; Department of Community Health, School of Medicine, University of Health and Allied Health Sciences, Ho, Ghana.<br /><searchLink fieldCode="AU" term="%22Ampah+BA%22">Ampah BA</searchLink>; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.<br /><searchLink fieldCode="AU" term="%22Opoku+DA%22">Opoku DA</searchLink>; Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. douglasopokuaninng@gmail.com.; University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. douglasopokuaninng@gmail.com.
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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>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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        Value: 10.1186/s12884-025-07716-8
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        Text: English
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              Text: 2025 Jul 02
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