MERAL Myanmar Education Research and Learning Portal
AND
Item
{"_buckets": {"deposit": "695b47c9-840d-4aed-86cb-a0a6083eafed"}, "_deposit": {"created_by": 74, "id": "7431", "owner": "74", "owners": [74], "owners_ext": {"displayname": "", "email": "myo_myo_aung@miit.edu.mm", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7431"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007431"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Cardiovascular Disease, Classification, Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM)"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-13"}], "displaytype": "preview", "filename": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf", "filesize": [{"value": "896 KB"}], "format": "application/pdf", "licensetype": "license_0", "url": {"url": "https://meral.edu.mm/record/7431/files/Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf"}, "version_id": "75ee188e-ea93-47ba-ac43-fe634f3de735"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "No-1", "subitem_journal_title": "Journal of Research and application,UCS (Meiktila)", "subitem_pages": "55", "subitem_volume": "Vol-1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hnin Ei Ei Cho"}, {"subitem_authors_fullname": "Nan Yu Hlaing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Journal article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2019-12-13"}, "item_title": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis", "item_type_id": "21", "owner": "74", "path": ["1582963674932", "1582963674932/1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007431", "publish_date": "2021-01-13", "publish_status": "0", "recid": "7431", "relation": {}, "relation_version_is_last": true, "title": ["Data Mining Classification Techniques for Cardiovascular Disease Diagnosis"], "weko_creator_id": "74", "weko_shared_id": -1}
Permalink :
http://hdl.handle.net/20.500.12678/0000007431
9e771e63-cd26-4f54-8b1c-f79d4022777e
695b47c9-840d-4aed-86cb-a0a6083eafed
| Name / File | License | Actions | |
|---|---|---|---|
Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf (917.9 kB)
sha256: 1837ea842a6b5450974534f999d56299f624d2f89b7868b9c20f31951faa352f |
.png)
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 | ||||||
