Abstract :

Anaemia Is An Endemic Health Disorder That Is Marked By Low Levels Of Haemoglobin Or The Count Of Red Blood Cells In The Body, Which Causes Serious Health Problems Once It Is Not Treated At The Initial Stages. The Current Anaemia Diagnosis Techniques Are Mostly Based On Statistical Models And Clinical Risk Scores Which Besides Not Being Predictive; Do Not Produce Meaningful Information To The Medical Practitioners. There Are Many Authors Studied In This Paper Are Performing Anaemia Prediction Using Different Machine Learning Technique And Advance Machine Learning Techniques. Many Publicly Available Datasets And Hospital Datasets Are Used For Performing This Type Of Experiments Which Contributes To The Study Of Anaemia Prediction. Many Researchers Identified Different Limitations And Improved Their Work To Achieve The Goal And Even There Is Explainability Of The Model Discussed By Few Authors For Anaemia Prediction. Authors Detailed Study And Limitation With Future Scopes Are Mentioned In The Paper For Further Opportunities Of Study On Anaemia Prediction. Keywords: Anaemia Prediction, Machine Learning, Explainable Artificial Intelligence, Healthcare Analytics.

Published:

13-3-2026

Issue:

Vol. 26 No. 3 (2026)

Page Nos:

151-157

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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