Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier
Open Access
- 17 March 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 9, 45528-45538
- https://doi.org/10.1109/access.2021.3066782
Abstract
Thalassemia is viewed as a prevalent inherited blood disease that has gotten exorbitant consideration in the field of medical research around the world. Inherited diseases have a high risk that children will get these diseases from their parents. If both the parents are β-Thalassemia carriers then there are 25% chances that each child will have β-Thalassemia intermediate or β-Thalassemia major, which in most of its cases leads to death. Prenatal screening after counseling of couples is an effective way to control β-Thalassemia. Generally, identification of the Thalassemia carriers is performed by some quantifiable blood traits determined effectively by high-performance-liquid-chromatography (HPLC) test, which is costly, time-consuming, and requires specialized equipment. However, cost-effective and rapid screening techniques need to be devised for this problem. This study aims to detect β-Thalassemia carriers by evaluating red blood cell indices from the complete-blood-count test. The present study included Punjab Thalassemia Prevention Project Lab Reports dataset. The proposed SGR-VC is an ensemble of three machine learning algorithms: Support Vector Machine, Gradient Boosting Machine, and Random Forest. Comparative analysis proved that the proposed ensemble model using all indices of red blood cells is very effective in β-Thalassemia carrier screening with 93% accuracy.Funding Information
- Ministry of Science and ICT South Korea (IITP-2020-2016-0-00313)
- National Research Foundation of Korea (NRF-2019R1A2C1006159)
This publication has 30 references indexed in Scilit:
- Anaesthesia for a patient with beta thalassaemia majorSouthern African Journal of Anaesthesia and Analgesia, 2015
- Digital Analysis of Microscopic Images in MedicineJournal of Advanced Microscopy Research, 2015
- Blood indices to differentiate between β-thalassemia trait and iron deficiency anemia in adult healthy Egyptian blood donorsThe Egyptian Journal of Haematology, 2014
- A Weighted Voting Classifier Based on Differential EvolutionAbstract and Applied Analysis, 2014
- Classification of the Disorders of HemoglobinCold Spring Harbor Perspectives in Medicine, 2013
- New Machine Learning Algorithm: Random ForestLecture Notes in Computer Science, 2012
- Diagnostic Approach to Hemoglobinopathies*Hemoglobin, 2007
- Changing Patterns of Thalassemia WorldwideAnnals of the New York Academy of Sciences, 2005
- The Thalassemias: The Role of Molecular Genetics in an Evolving Global Health Problem**Previously presented at the annual meeting of The American Society of Human Genetics, in Los Angeles, on November 7, 2003.American Journal of Human Genetics, 2004
- Model selection for support vector machine classificationNeurocomputing, 2003