Download PDFOpen PDF in browserNovel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS)EasyChair Preprint 284910 pages•Date: March 3, 2020AbstractIn recent decades, attention has been directed at anemia classification for various medical purposes, such as thalassemia screening and predicting iron deficiency anemia (IDA). In this study, a new method has been successfully tested for discrimination between IDA and β-thalassemia trait (β-TT). The method is based on a Dynamic Harmony Search (DHS). Complete blood count (CBC), a fast and inexpensive laboratory test, is used as the input of the system. Other models, such as a genetic programming method called structured representation on genetic algorithm in non-linear function fitting (STROGANOFF), an artificial neural network (ANN), an adaptive neuro-fuzzy inference system (ANFIS), a support vector machine (SVM), k-nearest neighbor (KNN), and certain traditional methods, are compared with the proposed method. Keyphrases: Anemia classification, dynamic harmony search, iron deficiency anemia, machine learning, thalassemia trait
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