Bibliometric Analysis of Intelligent Techniques for Obstetric Complication Prediction in the Last 20 Years-Reference-Cited by-同舟云学术

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Bibliometric Analysis of Intelligent Techniques for Obstetric Complication Prediction in the Last 20 Years

Published:2024-08-06 Issue: Volume: Page:1-8
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Container-title:2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Lestari Dian¹,Maulana Fairuz Iqbal²,Adi Puput Dani Prasetyo³,Rahayu Anita²,Nadlifatin Reny⁴,Widartha Vandha Pradwiyasma⁵

Affiliation:

1. Airlangga University,Faculty of Medicine,Surabaya,Indonesia,60132

2. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia,11480

3. National Research and Innovation Agency,Research Center for Telecommunication,Bandung,Indonesia

4. Institut Teknologi Sepuluh Nopember,Department of Information System,Surabaya,Indonesia

5. Pukyong National University,Department of Information System,Busan,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638789/10638835/10638994.pdf?arnumber=10638994

Reference41 articles.

1. Global causes of maternal death: a WHO systematic analysis

2. Maternal characteristics and obstetrical complications impact neonatal outcomes in Indonesia: a prospective study

3. Long-Term Effects of Pregnancy Complications on Maternal Health: A Review

4. Preconception and early-pregnancy risk prediction for birth complications: development of prediction models within a population-based prospective cohort

5. Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda

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