Diagnose of chronic kidney diseases by using naive Bayes algorithm

Joint Authors

Abd, Nur S.
Abd Allah, Zahir A.

Source

al-Qadisiyah Journal for Computer Science and Mathematics

Issue

Vol. 13, Issue 2 (30 Jun. 2021), pp.46-55, 10 p.

Publisher

University of al-Qadisiyah College of computer Science and Information Technology

Publication Date

2021-06-30

Country of Publication

Iraq

No. of Pages

10

Main Topic

Information Technology and Computer Science

Abstract EN

Chronic kidney disease (CKD) develops gradually, usually after months or years when the kidneys lose function.

In general, it may not be detected before it loses 25% of its functionality.

Patients may begin to not recognize kidney failure because kidney failure may not give any symptoms at first.

Treatment for kidney failure aims to control the causes and slow the progression of kidney failure.

If the treatments are insufficient, the patient is in the end stage of kidney failure and the last treatment is dialysis or a kidney transplant.

at this time.

Therefore, it is necessary to make an early diagnosis to avoid reaching the stage of kidney failure.

We conclude in this paper that the Naive Bayes algorithm is one of the best algorithms for diagnosing diseases with high accuracy of 99.24% and time of 0.003 seconds approximately because it is suitable for this kind of dataset.

American Psychological Association (APA)

Abd, Nur S.& Abd Allah, Zahir A.. 2021. Diagnose of chronic kidney diseases by using naive Bayes algorithm. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 2, pp.46-55.
https://search.emarefa.net/detail/BIM-1266867

Modern Language Association (MLA)

Abd, Nur S.& Abd Allah, Zahir A.. Diagnose of chronic kidney diseases by using naive Bayes algorithm. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 2 (2021), pp.46-55.
https://search.emarefa.net/detail/BIM-1266867

American Medical Association (AMA)

Abd, Nur S.& Abd Allah, Zahir A.. Diagnose of chronic kidney diseases by using naive Bayes algorithm. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 2, pp.46-55.
https://search.emarefa.net/detail/BIM-1266867

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 54-55

Record ID

BIM-1266867