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...
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Bulgarian Academy of Sciences
2016-12-01
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Online Access: | http://www.biomed.bas.bg/bioautomation/2016/vol_20.4/files/20.4_06.pdf |
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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 |
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1724697398268133376 |