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Applying Data Mining Techniques for Predicting Diseases


Affiliations
1 Teaching Assistant, Department of Information System Higher Institute of Qualitative Studies, Egypt
2 Department of Information Systems, Faculty of Computers & Information Helwan University, Egypt
 

The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there’s a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests tocreate the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a shortamount by utilizing Business Intelligence ‘BI’ that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Keywords

Business Intelligence, Data Mining, Data-Driven Decision Support System, Knowledge Discovery in Database (KDD).
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  • Applying Data Mining Techniques for Predicting Diseases

Abstract Views: 209  |  PDF Views: 0

Authors

Basant Ali Sayed
Teaching Assistant, Department of Information System Higher Institute of Qualitative Studies, Egypt
Mona Nasr
Department of Information Systems, Faculty of Computers & Information Helwan University, Egypt

Abstract


The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there’s a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests tocreate the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a shortamount by utilizing Business Intelligence ‘BI’ that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Keywords


Business Intelligence, Data Mining, Data-Driven Decision Support System, Knowledge Discovery in Database (KDD).