On the Use of Deep Learning Decompositions and Physiological Measurements for the Prediction of Preterm Pregnancies in a Cohort of Patients in Active Labor-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

On the Use of Deep Learning Decompositions and Physiological Measurements for the Prediction of Preterm Pregnancies in a Cohort of Patients in Active Labor

Published:2022-11-01 Issue: Volume: Page:
ISSN:
Container-title:The 9th International Electronic Conference on Sensors and Applications
language:
Short-container-title:

Author:

Nsugbe Ejay,Reyes-Lagos José Javier^ORCID,Adams Dawn^ORCID,Samuel Oluwarotimi Williams^ORCID,Asogbon Mojisola Grace,Provost Michael

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/27/1/20/pdf

Reference23 articles.

1. A Cybernetic Framework for Predicting Preterm and Enhancing Care Strategies: A Review;Nsugbe;Biomed. Eng. Adv.,2021

2. World Health Organization (2022, August 25). Preterm Birth. Available online: https://www.who.int/news-room/fact-sheets/detail/preterm-birth.

3. Enhancing Care Strategies for Preterm Pregnancies by Using a Prediction Machine to Aid Clinical Care Decisions;Nsugbe;Mach. Learn. Appl.,2021

4. Electrohysterography in the Diagnosis of Preterm Birth: A Review;Perales;Physiol. Meas.,2018

5. Wiener, N. (2007). Cybernetics or Control and Communication in the Animal and the Machine, MIT Press. [2nd ed.].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP