Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring

John Mark Bautista; Rosula S.J. Reyes

doi:10.1109/ECBIOS54627.2022.9945019

Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring

John Mark Bautista, Rosula S.J. Reyes

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	148-151
Number of pages	4
ISBN (Electronic)	9781728195797
DOIs	https://doi.org/10.1109/ECBIOS54627.2022.9945019
State	Published - 2022
Event	4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022 - Tainan, Taiwan, Province of China Duration: May 27 2022 → May 29 2022

Publication series

Name	Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022

Conference

Conference	4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022
Country/Territory	Taiwan, Province of China
City	Tainan
Period	5/27/22 → 5/29/22

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems and Management
Renewable Energy, Sustainability and the Environment
Biomedical Engineering
Health Informatics
Health(social science)

Keywords

Machine Learning
Predictive Algorithm
Prenatal Care

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ECBIOS54627.2022.9945019

Cite this

Bautista, J. M., & Reyes, R. S. J. (2022). Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring. In T.-H. Meen (Ed.), Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022 (pp. 148-151). (Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECBIOS54627.2022.9945019

Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring. / Bautista, John Mark; Reyes, Rosula S.J.
Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2022. p. 148-151 (Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bautista, JM & Reyes, RSJ 2022, Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring. in T-H Meen (ed.), Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022. Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 148-151, 4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022, Tainan, Taiwan, Province of China, 5/27/22. https://doi.org/10.1109/ECBIOS54627.2022.9945019

Bautista JM, Reyes RSJ. Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring. In Meen TH, editor, Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 148-151. (Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022). doi: 10.1109/ECBIOS54627.2022.9945019

Bautista, John Mark ; Reyes, Rosula S.J. / Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring. Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 148-151 (Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022).

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Comparative Analysis of ML algorithms for Predictive Prenatal Monitoring

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

UN SDGs

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