Classification of Foetal Distress and Hypoxia Using Machine Learning Approaches-Reference-Cited by-同舟云学术

Classification of Foetal Distress and Hypoxia Using Machine Learning Approaches

Published:2018 Issue: Volume: Page:767-776
ISSN:0302-9743
Container-title:Intelligent Computing Methodologies
language:
Short-container-title:

Author:

Abbas Rounaq,Hussain Abir Jaafar,Al-Jumeily Dhiya,Baker Thar,Khattak Asad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-95957-3_81

Reference39 articles.

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4. Talaulikar, V.S., Arulkumaran, S.: Persistent challenge of intrapartum fetal heart rate monitoring. Dasgupta’s Recent Adv. Obstet. Gynecol. 9, 68 (2012)

5. Wiberg-Itzel, E., Lipponer, C., Norman, M., Herbst, A., Prebensen, D., Hansson, A., Bryngelsson, A.L., Christoffersson, M., Sennström, M., Wennerholm, U.B., Nordström, L.: Determination of pH or lactate in fetal scalp blood in management of intrapartum fetal distress: randomised controlled multicentre trial. BMJ 336(7656), 1284–1287 (2008)

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