Anemia Detection using Multilayer Perceptron
A web-based application designed to assist healthcare professionals in the early detection and classification of anemia. The system utilizes a Multilayer Perceptron (MLP) machine learning model to analyze Complete Blood Count (CBC) results and classify anemia into three types: microcytic, macrocytic, and normocytic. The goal of the project is to provide a faster, more accurate, and accessible decision-support tool that enhances diagnostic efficiency while complementing, not replacing, traditional medical assessments.
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