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Use of logistic regression to study the most important factors affecting the incidence of tuberculosis
Other Title(s)
استخدام الانحدار اللوجستي لدراسة الإصابة بمرض التدرن
Joint Authors
Talib, Haydar Raid
Abd, Ahmad Razzaq
Ahmad, Ali Hamad Allah
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 10, Issue 2 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
What distinguishes this research Is to focus on the concept of logistic the regression and its characteristics and how to build the model analytical descriptive approach was used to describe the logistic regression How to estimate Its Features And its use as an important tool in studying the influencing factors in the injury of tuberculosis the sample included 299 patients.
American Psychological Association (APA)
Talib, Haydar Raid& Abd, Ahmad Razzaq& Ahmad, Ali Hamad Allah. 2018. Use of logistic regression to study the most important factors affecting the incidence of tuberculosis. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 10, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-839723
Modern Language Association (MLA)
Talib, Haydar Raid…[et al.]. Use of logistic regression to study the most important factors affecting the incidence of tuberculosis. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 10, no. 2 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-839723
American Medical Association (AMA)
Talib, Haydar Raid& Abd, Ahmad Razzaq& Ahmad, Ali Hamad Allah. Use of logistic regression to study the most important factors affecting the incidence of tuberculosis. al-Qadisiyah Journal for Computer Science and Mathematics. 2018. Vol. 10, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-839723
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 8
Record ID
BIM-839723