Heart disease classification by genetic algorithm
Joint Authors
al-Asadi, Zaynab Falah Hasan
Husayn, Isra Abd Allah
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 24, Issue 9 (31 Dec. 2016), pp.2389-2394, 6 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Abstract EN
Classification is predicting of a correct output for related inputs.
This is done by using many techniques, some of them depends on a training process that uses set of features and its related output.
In the training process, the algorithm finds the relationships between the features and its related output.
In this work, classification heart disease is done using genetic algorithms.
Genetic algorithm is used to get best successful system of classification.
The chromosome consists of the states using for classification, this means every gene acts state from database.
Database is clustered to chromosome to find fitness of chromosome(accuracy of classification).
American Psychological Association (APA)
al-Asadi, Zaynab Falah Hasan& Husayn, Isra Abd Allah. 2016. Heart disease classification by genetic algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 24, no. 9, pp.2389-2394.
https://search.emarefa.net/detail/BIM-1314821
Modern Language Association (MLA)
al-Asadi, Zaynab Falah Hasan& Husayn, Isra Abd Allah. Heart disease classification by genetic algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 24, no. 9 (2016), pp.2389-2394.
https://search.emarefa.net/detail/BIM-1314821
American Medical Association (AMA)
al-Asadi, Zaynab Falah Hasan& Husayn, Isra Abd Allah. Heart disease classification by genetic algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences. 2016. Vol. 24, no. 9, pp.2389-2394.
https://search.emarefa.net/detail/BIM-1314821
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2394
Record ID
BIM-1314821