Predicting adverse perinatal outcomes among gestational diabetes complicated pregnancies using neural network algorithm-Reference-Cited by-同舟云学术

Predicting adverse perinatal outcomes among gestational diabetes complicated pregnancies using neural network algorithm

Published:2023-12-03 Issue:2 Volume:36 Page:
ISSN:1476-7058
Container-title:The Journal of Maternal-Fetal & Neonatal Medicine
language:en
Short-container-title:The Journal of Maternal-Fetal & Neonatal Medicine

Author:

Houri Ohad¹²^ORCID,Gil Yotam³,Krispin Eyal¹²^ORCID,Amitai-Komem Daphna²⁴^ORCID,Chen Rony¹²,Hochberg Alyssa¹²^ORCID,Wiznitzer Arnon¹²,Hadar Eran¹²^ORCID

Affiliation:

1. Helen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel

2. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

3. School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel

4. Department of Obstetrics and Gynecology, Sheba Medical Center, Tel-Hashomer, Israel

Publisher

Informa UK Limited

Subject

Obstetrics and Gynecology,Pediatrics, Perinatology and Child Health

Link

https://www.tandfonline.com/doi/pdf/10.1080/14767058.2023.2286928

Reference32 articles.

1. Trends in Prevalence of Diabetes Among Delivery Hospitalizations, United States, 1993–2009

2. ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus

3. Gestational diabetes: The consequences of not treating

4. The risk of stillbirth and infant death stratified by gestational age in women with gestational diabetes

5. Complications associated with the macrosomic fetus;Lazer S;J Reprod Med,1986

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