Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

Comprehensive Machine Learning Framework for the Early Detection and Analysis of Anemia Through Hemoglobin Level Assessment

Authors
G. Jeya Krishna1, *, R. S. Sheshanth1, N. Sri Ragavendiran1, B. Aswin Kumar1, M. Amsa1
1M Kumarasamy College of Engineering, Karur, Tamil Nadu, India
*Corresponding author. Email: jeyakrishna2003@gmail.com
Corresponding Author
G. Jeya Krishna
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_4How to use a DOI?
Keywords
Machine learning; health care; anemia detection; logistic regression
Abstract

This new approach provides and includes complex architecture based on machine learning techniques for the early detection and diagnosis of anemia by calculating the concentration of hemoglobin in the patients’ blood. By using supervised learning techniques, the system endeavors to estimate the probability related to the presence of anemia using hemoglobin data, which gives immediate assessment and analysis of the severity of the condition. The ability of the system to identify early-stage anemia is useful for providing timely treatment and avoiding complications.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_4How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - G. Jeya Krishna
AU  - R. S. Sheshanth
AU  - N. Sri Ragavendiran
AU  - B. Aswin Kumar
AU  - M. Amsa
PY  - 2025
DA  - 2025/06/30
TI  - Comprehensive Machine Learning Framework for the Early Detection and Analysis of Anemia Through Hemoglobin Level Assessment
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 25
EP  - 33
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_4
DO  - 10.2991/978-94-6463-754-0_4
ID  - Krishna2025
ER  -