Document Detail


Superiority of neural networks over discriminant functions for thalassemia minor screening of red blood cell microcytosis.
MedLine Citation:
PMID:  7726727     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We compared the utility of screening red blood cell (RBC) microcytosis for thalassemia minor using backpropagation neural networks, linear and quadratic discriminant functions, and previously reported discriminant functions based on RBC indices. Screening classification of cases representing possible thalassemia minor (n = 60) and non-thalassemic microcytosis (n = 60) were studied. Among eight RBC indices evaluated, the RBC count was the best univariate discriminant function. Multivariate stepwise discriminant analysis selected the RBC count, the mean corpuscular volume, and the percentage of hypochromic cells as the most discriminatory subset of RBC indices. Optimized linear and quadratic discriminant functions based on these indices performed better than seven previously reported multivariate discriminant functions. However, optimized neural networks were superior to all other discriminant methods studied, averaging 94.1% discriminant efficiency, 94.2% sensitivity, and 94.2% specificity.
Authors:
B S Erler; P Vitagliano; S Lee
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Archives of pathology & laboratory medicine     Volume:  119     ISSN:  0003-9985     ISO Abbreviation:  Arch. Pathol. Lab. Med.     Publication Date:  1995 Apr 
Date Detail:
Created Date:  1995-05-25     Completed Date:  1995-05-25     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7607091     Medline TA:  Arch Pathol Lab Med     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  350-4     Citation Subset:  AIM; IM    
Affiliation:
Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Discriminant Analysis*
Erythrocyte Count
Erythrocytes, Abnormal / pathology*
Humans
Mass Screening
Neural Networks (Computer)*
beta-Thalassemia / blood,  diagnosis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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