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Data Mining Classification Techniques for Cardiovascular Disease Diagnosis
http://hdl.handle.net/20.500.12678/0000007431
http://hdl.handle.net/20.500.12678/00000074319e771e63-cd26-4f54-8b1c-f79d4022777e
695b47c9-840d-4aed-86cb-a0a6083eafed
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Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf (896 KB)
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Data Mining Classification Techniques for Cardiovascular Disease Diagnosis | |||||
Language | 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) | ||||||
Journal articles | ||||||
No-1 | ||||||
Journal of Research and application,UCS (Meiktila) | ||||||
55 | ||||||
Vol-1 |