Version 1
: Received: 3 March 2020 / Approved: 4 March 2020 / Online: 4 March 2020 (15:34:04 CET)
How to cite:
Qasem, S.N.; Mosavi, A. Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS). Preprints2020, 2020030071. https://doi.org/10.20944/preprints202003.0071.v1
Qasem, S.N.; Mosavi, A. Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS). Preprints 2020, 2020030071. https://doi.org/10.20944/preprints202003.0071.v1
Qasem, S.N.; Mosavi, A. Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS). Preprints2020, 2020030071. https://doi.org/10.20944/preprints202003.0071.v1
APA Style
Qasem, S.N., & Mosavi, A. (2020). Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS). Preprints. https://doi.org/10.20944/preprints202003.0071.v1
Chicago/Turabian Style
Qasem, S.N. and Amir Mosavi. 2020 "Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and Β-Thalassemia with CBC Indices Based on Dynamic Harmony Search (DHS)" Preprints. https://doi.org/10.20944/preprints202003.0071.v1
Abstract
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 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.
Medicine and Pharmacology, Cardiac and Cardiovascular Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.