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Research Paper | Computer Science | India | Volume 12 Issue 11, November 2023

Pioneering Early Diagnosis: A Comprehensive Analysis of Key Factors in Iron Deficiency Anemia Detection

S. Srinithiya | Dr. K. Menaka ^[4]

Abstract: Anemia is one of the most widespread blood diseases worldwide. The common condition of anemia is the insufficiency of red blood count or the reduction of oxygen carrying capacity, thereby affecting the eminence of life. Though there exists many different forms of anemia, the most general form is the Iron Deficiency Anemia (IDA) which nurtures commonly during the gestational period of a woman. Timely detection of IDA is crucial in terms of treating patients. Relying only on Haemoglobin (HB) will not be helpful to diagnose IDA. A comprehensive approach encompassing factors such as age, dietary habits, pregnancy stage, other physiological conditions and a Complete Blood Count (CBC) test is also essential for accurate diagnosis. Also, IDA can be distinguished in three stages viz. mild, moderate and severe based on the outcomes of the factors causing IDA. Failing to recognize and treat IDA promptly can lead to adverse consequences, particularly concerning maternal and neonatal outcomes [1]. Identifying the cause at an early stage and providing proper treatments will help the maternal women not to reach the moderate or severe stage of IDA. The present work focuses on identifying IDA at an early stage by deeply observing various factors like Mean corpuscular volume (MCV), Red blood cell distribution width (RDW), Platelet (Plt), Ferritin, Iron etc. Few statistical analyses were performed in this work and their results are discussed.

Keywords: Iron Deficiency Anemia, Early diagnoses, Statistical Analysis

Edition: Volume 12 Issue 11, November 2023,

Pages: 892 - 895