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DC Field | Value | Language |
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dc.contributor.author | S, Kavitha | - |
dc.contributor.author | K, Sarojini | - |
dc.date.accessioned | 2020-09-14T07:43:05Z | - |
dc.date.available | 2020-09-14T07:43:05Z | - |
dc.date.issued | 2019-04 | - |
dc.identifier.issn | Online:1076-5131 | - |
dc.identifier.uri | http://j-asc.com/VOLUME-6-ISSUE-4-APRIL-2019-SP-4/ | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1471 | - |
dc.description.abstract | The amount of data produced from Health care industry is huge which consists of information about patients and their medical history. Data mining emerges with techniques for discovering and extracting information from the data warehouse. Thus the hidden information’s can be discovered with the help of data mining techniques. Such techniques when implemented in healthcare field for decision making, it paves the way for improvement of treatment standard and also increases the survival rate of patients. The Healthcare data needs to be examined accurately in order to diagnosis the disease correctly and to provide with appropriate treatments. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Applied Science and Computations | en_US |
dc.subject | Data Mining Techniques | en_US |
dc.subject | Data Mining Tools | en_US |
dc.subject | Data Mining Applications | en_US |
dc.title | A STUDY ON DATA MINING IN HEALTH CARE | en_US |
dc.type | Article | en_US |
Appears in Collections: | International Journals |
Files in This Item:
File | Description | Size | Format | |
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A STUDY ON DATA MINING IN HEALTH CARE.docx | 10.25 kB | Microsoft Word XML | View/Open |
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