Classifying patients with myocardial infarction and heart failure by using SVM and KNN learning techniques
Other Title(s)
تصنيف مرضى النوبة القلبية و عجز القلب باستخدام تقنيات Support Vector Machine(SVM) و K-Nearest Neighbor Learning (KNN)
Joint Authors
Khalil, Badiah Rahman
Fiqqi, Muhammad Mahmud
Haydar, Suzan Sabir
Source
The Journal of Administration and Economics
Issue
Vol. 2020, Issue 126 (31 Dec. 2020), pp.315-327, 13 p.
Publisher
al-Mustansiriyah University College of Management and Economic
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Business Administration
Economy and Commerce
Topics
American Psychological Association (APA)
Khalil, Badiah Rahman& Fiqqi, Muhammad Mahmud& Haydar, Suzan Sabir. 2020. Classifying patients with myocardial infarction and heart failure by using SVM and KNN learning techniques. The Journal of Administration and Economics،Vol. 2020, no. 126, pp.315-327.
https://search.emarefa.net/detail/BIM-1262875
Modern Language Association (MLA)
Khalil, Badiah Rahman…[et al.]. Classifying patients with myocardial infarction and heart failure by using SVM and KNN learning techniques. The Journal of Administration and Economics No. 126 (Dec. 2020), pp.315-327.
https://search.emarefa.net/detail/BIM-1262875
American Medical Association (AMA)
Khalil, Badiah Rahman& Fiqqi, Muhammad Mahmud& Haydar, Suzan Sabir. Classifying patients with myocardial infarction and heart failure by using SVM and KNN learning techniques. The Journal of Administration and Economics. 2020. Vol. 2020, no. 126, pp.315-327.
https://search.emarefa.net/detail/BIM-1262875
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1262875
