Literature DB >> 24209918

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

G L Masala1, B Golosio, R Cutzu, R Pola.   

Abstract

The thalassaemias are blood disorders with hereditary transmission. Their distribution is global, with particular incidence in areas affected by malaria. Their diagnosis is mainly based on haematologic and genetic analyses. The aim of this study was to differentiate between persons with the thalassaemia trait and normal subjects by inspecting characteristics of haemochromocytometric data. The paper proposes an original method that is useful in screening activity for thalassaemia classification. A complete working system with a friendly graphical user interface is presented. A unique feature of the presented work is the adoption of a two-layered classification system based on Radial basis function, which improves the performance of the system.
© 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  K-Nearest neighbours; Probabilistic neural network; Radial basis function; α-Thalassaemia; β-Thalassaemia

Mesh:

Year:  2013        PMID: 24209918     DOI: 10.1016/j.compbiomed.2013.08.020

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Differential Diagnosis of Iron-Deficiency Anemia from β-Thalassemia Trait Using an Intelligent Model in Comparison with Discriminant Indexes.

Authors:  Leila Kabootarizadeh; Amir Jamshidnezhad; Zahra Koohmareh
Journal:  Acta Inform Med       Date:  2019-06

Review 2.  Diagnosis support systems for rare diseases: a scoping review.

Authors:  Carole Faviez; Xiaoyi Chen; Nicolas Garcelon; Antoine Neuraz; Bertrand Knebelmann; Rémi Salomon; Stanislas Lyonnet; Sophie Saunier; Anita Burgun
Journal:  Orphanet J Rare Dis       Date:  2020-04-16       Impact factor: 4.123

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.