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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Data Mining Classification Techniques for Cardiovascular Disease Diagnosis

Permalink : http://hdl.handle.net/20.500.12678/0000007431
9e771e63-cd26-4f54-8b1c-f79d4022777e
695b47c9-840d-4aed-86cb-a0a6083eafed
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Data Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf (917.9 kB)
sha256: 1837ea842a6b5450974534f999d56299f624d2f89b7868b9c20f31951faa352f
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Creative Commons Attribution 4.0 International (CC BY 4.0)
Publication type Journal article
Upload type Publication
Title
Data Mining Classification Techniques for Cardiovascular Disease Diagnosis
en
Publication date 2019-12-13
Authors
Hnin Ei Ei Cho
Nan Yu Hlaing
Description
To know about Classification Techniques and to propose a model for early detection and correct diagnosis of the disease, which will help the doctor in saving the life of the patient.
Keywords
Cardiovascular Disease, Classification, Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM)
Files https://meral.edu.mm/record/7431/files/Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf
896 KB
Available
2021-01-13
Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf
preview
application/pdf
75ee188e-ea93-47ba-ac43-fe634f3de735
open_access
Creative Commons Attribution 4.0 International (CC BY 4.0)
Journal articles
No-1
Journal of Research and application,UCS (Meiktila)
55
Vol-1
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