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http://hdl.handle.net/20.500.12678/0000007431
9e771e63-cd26-4f54-8b1c-f79d4022777e
695b47c9-840d-4aed-86cb-a0a6083eafed
Name / File | License | Actions | |
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![]() sha256: 1837ea842a6b5450974534f999d56299f624d2f89b7868b9c20f31951faa352f |
Publication type | Journal article | |||||
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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) |
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Journal articles | ||||||
No-1 | ||||||
Journal of Research and application,UCS (Meiktila) | ||||||
55 | ||||||
Vol-1 |