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Academic Journal

Impact of parity on gestational diabetes mellitus in Chinese women: a retrospective cohort study.

  • Authors : Dai Y; Public Health Service Center, Bao'an District, Shenzhen, 518100, China.; Department of Maternal, Child and Adolescent Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.

Subjects: Diabetes, Gestational*/Diabetes, Gestational*/Diabetes, Gestational*/epidemiology ; Parity*; Humans

  • Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Apr 30; Vol. 25 (1), pp. 520. Date of Electronic Publication: 2025 Apr 30.Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393

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Academic Journal

A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

  • Authors : Lin YC; Department of Computer Science, Columbia University, 1214 Amsterdam Ave, 721 Schapiro CEPSR, New York, NY, 10027, USA. .; Mallia D

Subjects: Pre-Eclampsia*/Pre-Eclampsia*/Pre-Eclampsia*/blood ; Pre-Eclampsia*/Pre-Eclampsia*/Pre-Eclampsia*/diagnosis ; Machine Learning*

  • Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2024 Dec 24; Vol. 24 (1), pp. 853. Date of Electronic Publication: 2024 Dec 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393

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Academic Journal

Discrimination by parity is a prerequisite for assessing induction of labour outcome - cross-sectional study.

  • Authors : Denona B; National Maternity Hospital, Dublin, Ireland. .; St. Luke's General Hospital, Kilkenny, Ireland. .

Subjects: Parity* ; Treatment Failure*; Cesarean Section/Cesarean Section/Cesarean Section/*statistics & numerical data

  • Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2020 Nov 23; Vol. 20 (1), pp. 709. Date of Electronic Publication: 2020 Nov 23.Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393

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