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Fuzzy Model for Thalassemia Prediction by Erliyan Redy Susanto is a document available to read on EtoBox.

What is Fuzzy Model for Thalassemia Prediction about?

This document describes a study that developed a fuzzy-based model for predicting thalassemia diseases using complete blood count (CBC) data. Thalassemia is a blood disorder disease inherited from parents. The model classifies thalassemia into 4 types - major, intermedia, minor, and not thalassemia - based on CBC values like hemoglobin, hematocrit, and others. The study aims to provide faster detection of thalassemia in children compared to current methods. Testing on 4 CBC datasets showed the model success

Author
Erliyan Redy Susanto
Language
EN