A two-layered classifier based on the radial basis function for the screening of thalassaemia

Area of Science:

• Hematology
• Genetics
• Medical Diagnostics

Background:

• Thalassaemias are inherited blood disorders with global distribution, prevalent in malaria-affected regions.
• Current diagnosis relies on complex haematologic and genetic analyses.
• Screening for thalassaemia trait is crucial for early identification and management.

Purpose of the Study:

• To develop an accessible method for differentiating thalassaemia trait carriers from normal individuals.
• To utilize haemochromocytometric data for automated screening.
• To present a user-friendly system for clinical application.

Main Methods:

• Analysis of haemochromocytometric data characteristics.
• Development of a two-layered classification system.
• Implementation of Radial Basis Function (RBF) classifiers.
• Creation of a graphical user interface for the screening system.

Main Results:

• The proposed method effectively differentiates individuals with the thalassaemia trait from normal subjects.
• The two-layered RBF classification system demonstrated improved performance in thalassaemia screening.
• The developed system provides a practical tool for screening activities.

Conclusions:

• Haemochromocytometric data analysis offers a viable approach for thalassaemia trait screening.
• The novel two-layered RBF system enhances classification accuracy and system performance.
• The user-friendly system facilitates efficient screening for thalassaemia.