Classification of <i>?</i>-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier

نویسندگان

چکیده

Thalassemia is viewed as a prevalent inherited blood disease that has gotten exorbitant consideration in the field of medical research around world. Inherited diseases have high risk children will get these from their parents. If both parents are ?-Thalassemia carriers then there 25% chances each child intermediate or major, which most its cases leads to death. Prenatal screening after counseling couples an effective way control ?-Thalassemia. Generally, identification performed by some quantifiable traits determined effectively high-performance-liquid-chromatography (HPLC) test, costly, time-consuming, and requires specialized equipment. However, cost-effective rapid techniques need be devised for this problem. This study aims detect evaluating red cell indices complete-blood-count test. The present included Punjab Prevention Project Lab Reports dataset. proposed SGR-VC ensemble three machine learning algorithms: Support Vector Machine, Gradient Boosting Random Forest. Comparative analysis proved model using all cells very carrier with 93% accuracy.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3066782