Predicting stillbirth in a low resource setting-Reference-Cited by-同舟云学术

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Predicting stillbirth in a low resource setting

Published:2016-09-20 Issue:1 Volume:16 Page:
ISSN:1471-2393
Container-title:BMC Pregnancy and Childbirth
language:en
Short-container-title:BMC Pregnancy Childbirth

Author:

Kayode Gbenga A.,Grobbee Diederick E.,Amoakoh-Coleman Mary,Adeleke Ibrahim Taiwo,Ansah Evelyn,de Groot Joris A. H.,Klipstein-Grobusch Kerstin

Funder

Netherlands Organization for Scientific Research / WOTRO Science for Development

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology

Link

http://link.springer.com/content/pdf/10.1186/s12884-016-1061-2.pdf

Reference42 articles.

1. Scott J. Stillbirths: breaking the silence of a hidden grief. Lancet. 2011;377(9775):1386–8.

2. Cousens S, Blencowe H, Stanton C, Chou D, Ahmed S, Steinhardt L, Creanga AA, Tuncalp O, Balsara ZP, Gupta S, et al. National, regional, and worldwide estimates of stillbirth rates in 2009 with trends since 1995: a systematic analysis. Lancet. 2011;377(9774):1319–30.

3. Stanton C, Lawn JE, Rahman H, Wilczynska-Ketende K, Hill K. Stillbirth rates: delivering estimates in 190 countries. Lancet. 2006;367(9521):1487–94.

4. Mullan Z, Horton R. Bringing stillbirths out of the shadows. Lancet. 2011;377(9774):1291–2.

5. Bhutta ZA, Yakoob MY, Lawn JE, Rizvi A, Friberg IK, Weissman E, Buchmann E, Goldenberg RL. Stillbirths: what difference can we make and at what cost? Lancet. 2011;377(9776):1523–38.

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3. Maternal health care policy intervention and its impact on perinatal mortality outcomes in Ghana: evidence from a quasi-experimental design;Public Health;2023-09

4. Identifying risk of stillbirth using machine learning;American Journal of Obstetrics and Gynecology;2023-09

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