Pregnancy delivery mode prediction using dichotomous radial basis Tanimoto network-Reference-Cited by-同舟云学术

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Pregnancy delivery mode prediction using dichotomous radial basis Tanimoto network

Published:2022-03-12 Issue:13 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Devaraj Kavitha¹,Thangavel Balasubramanain²

Affiliation:

1. Head, Department of Computer Science & Applications Sri Vidya Mandir Arts & Science College(Autonomous) Uthangarai Tamilnadu India

2. Principal Sri Vidya Mandir Arts & Science College (Autonomous) Uthangarai Tamilnadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6928

Reference11 articles.

1. Mode of Delivery in Drug-Dependent Pregnant Women: A Case Control Study

2. Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery

3. Differential rates of cesarean delivery by maternal geographical origin: a cohort study in France

4. Perinatal and social factors predicting caesarean birth in a 2004 Australian birth cohort

5. Predictive modeling of emergency cesarean delivery;Carlos Campillo Artero1;PLoS One,2018

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