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

University of Babylon

Publication Date

2016-12-31

Country of Publication

Iraq

No. of Pages

6

Main Subjects

Mathematics

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