The Application of Genetic Algorithms in the Biological Medical Diagnostic Research

In this paper, a genetic algorithm is used to determine the Mean Corpuscular Volume (MCV) as the optimal decision-making criterion for anemia caused by iron deficiency based on the diagnostic test of patients with such anemia. On the premise of attaining maximum sensitivity and specificity for the c...

Full description

Bibliographic Details
Main Author: Xi Wang
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2016-12-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.biomed.bas.bg/bioautomation/2016/vol_20.4/files/20.4_06.pdf
id doaj-fd26df3e7b1049f9ac98de98bf7c1869
record_format Article
spelling doaj-fd26df3e7b1049f9ac98de98bf7c18692020-11-25T03:00:34ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212016-12-01204493504The Application of Genetic Algorithms in the Biological Medical Diagnostic ResearchXi Wang0Software College, Nanyang Normal University, Nanyang, 473061 ChinaIn this paper, a genetic algorithm is used to determine the Mean Corpuscular Volume (MCV) as the optimal decision-making criterion for anemia caused by iron deficiency based on the diagnostic test of patients with such anemia. On the premise of attaining maximum sensitivity and specificity for the cost, this paper studies the impact of the cost ratio of the optimal decision-making criteria and compares the mathematical derivation and binominal model method, so as to discuss the application of the optimal diagnostic criteria in the genetic algorithm and provide a practical study method for the diagnostic test.http://www.biomed.bas.bg/bioautomation/2016/vol_20.4/files/20.4_06.pdfGenetic algorithmBiomedicine diagnostic analysisSensitivity and specificityOptimal diagnostic criterion
collection DOAJ
language English
format Article
sources DOAJ
author Xi Wang
spellingShingle Xi Wang
The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
International Journal Bioautomation
Genetic algorithm
Biomedicine diagnostic analysis
Sensitivity and specificity
Optimal diagnostic criterion
author_facet Xi Wang
author_sort Xi Wang
title The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
title_short The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
title_full The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
title_fullStr The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
title_full_unstemmed The Application of Genetic Algorithms in the Biological Medical Diagnostic Research
title_sort application of genetic algorithms in the biological medical diagnostic research
publisher Bulgarian Academy of Sciences
series International Journal Bioautomation
issn 1314-1902
1314-2321
publishDate 2016-12-01
description In this paper, a genetic algorithm is used to determine the Mean Corpuscular Volume (MCV) as the optimal decision-making criterion for anemia caused by iron deficiency based on the diagnostic test of patients with such anemia. On the premise of attaining maximum sensitivity and specificity for the cost, this paper studies the impact of the cost ratio of the optimal decision-making criteria and compares the mathematical derivation and binominal model method, so as to discuss the application of the optimal diagnostic criteria in the genetic algorithm and provide a practical study method for the diagnostic test.
topic Genetic algorithm
Biomedicine diagnostic analysis
Sensitivity and specificity
Optimal diagnostic criterion
url http://www.biomed.bas.bg/bioautomation/2016/vol_20.4/files/20.4_06.pdf
work_keys_str_mv AT xiwang theapplicationofgeneticalgorithmsinthebiologicalmedicaldiagnosticresearch
AT xiwang applicationofgeneticalgorithmsinthebiologicalmedicaldiagnosticresearch
_version_ 1724697398268133376