Next Article in Journal
Deletion of the PHO91 Gene Leads to Impaired Ability to Consume Methanol in Cells of the Methylotrophic Yeast Ogataea Parapolymorpha 
Previous Article in Journal
Assessing Quality of Food Products Using Electronic Noses: A Systematic Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Proceedings
Volume 105
Issue 1
10.3390/proceedings2024105076
proceedings-logo
Submit to this Journal
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Abstract

Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions †

by
Suman Kumar Sahu
,
Harsha Gupta
,
Anshuman Panigrahi
,
Subhasis Sankhua
,
Shahwez Ahmad
and
Neelamadhab Padhy
*
Department of Computer Science and Engineering, School of Engineering and Technology, GIET University, Gunupur 765022, Odisha, India
*
Author to whom correspondence should be addressed.
†
Presented at the 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering (ECP 2024), 29–31 May 2024; Available online: https://sciforum.net/event/ECP2024.
Proceedings 2024, 105(1), 76; https://doi.org/10.3390/proceedings2024105076
Published: 28 May 2024
(This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering)
Versions Notes

Context: Pregnancy represents a critical period in a woman’s life, where her health significantly impacts the well-being of both herself and her newborn baby. This abstract summarizes a comprehensive analysis of the health status of pregnant women and newborn babies, aiming to identify key factors influencing maternal and newborn health outcomes.
Objective: The main objective of our project is to determine whether a newborn baby is safe or not by diagnosing the health of the mother by examining important features such as Age, Systolic Blood Pressure, Diastolic Blood Pressure, Body Temperature, and Heart Rate, along with the Risk Level, according to health records based on previous patients. Early detection of diseases to enable timely interventions and improve treatment outcomes; accurate risk assessment for individuals based on medical history and lifestyle factors; and personalized strategies and treatment plans for individuals based on reports are important. Breastfeeding: The analysis will discuss the numerous benefits of breastfeeding for both mother and baby, including the improved infant immunity and reduced risk of chronic diseases. Strategies for promoting and supporting breastfeeding will be explored. The impact of postpartum depression on both mothers and newborns will be addressed. The importance of mental health screening and providing mothers with the necessary support will be emphasized.
Material/Methods: In this article, we have used statistical analysis techniques to analyze the collected data. Machine learning algorithms were utilized to identify patterns and relationships between maternal health factors and newborn outcomes. Feature selection methods were applied to determine the most significant predictors of maternal and newborn health.
Conclusion: This comprehensive analysis sheds light on the critical factors influencing maternal and newborn health outcomes during pregnancy. Promoting and supporting breastfeeding emerge as crucial strategies for enhancing the health and well-being of both mother and baby.

Author Contributions

Conceptualization, S.K.S. and H.G.; methodology, A.P.; software, S.S.; validation, S.A., N.P. and S.K.S.; formal analysis, S.S.; investigation, H.G.; resources, S.K.S.; data curation, S.A.; writing—original draft preparation, S.K.S.; writing—review and editing, S.A.; visualization, N.P.; supervision, S.A.; project administration, S.A.; funding acquisition, N.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not Applicable.

Informed Consent Statement

Not Applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sahu, S.K.; Gupta, H.; Panigrahi, A.; Sankhua, S.; Ahmad, S.; Padhy, N. Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions. Proceedings 2024, 105, 76. https://doi.org/10.3390/proceedings2024105076

AMA Style

Sahu SK, Gupta H, Panigrahi A, Sankhua S, Ahmad S, Padhy N. Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions. Proceedings. 2024; 105(1):76. https://doi.org/10.3390/proceedings2024105076

Chicago/Turabian Style

Sahu, Suman Kumar, Harsha Gupta, Anshuman Panigrahi, Subhasis Sankhua, Shahwez Ahmad, and Neelamadhab Padhy. 2024. "Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions" Proceedings 105, no. 1: 76. https://doi.org/10.3390/proceedings2024105076

APA Style

Sahu, S. K., Gupta, H., Panigrahi, A., Sankhua, S., Ahmad, S., & Padhy, N. (2024). Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions. Proceedings, 105(1), 76. https://doi.org/10.3390/proceedings2024105076

Article Metrics

Back to TopTop