1 research outputs found
Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search
In 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 \b{eta}-thalassemia trait
(\b{eta}-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.Comment: 10pages, 5 figures, 7 table