slugIntelligent Data Mining Techniques in Cancer Disease Pattern Detection

Abstract

Technology plays a very crucial role for healthcare. Information technologies provides computerized patients records, computerized decision and support tools, computer based hospital information, telemedicine and many more facilities to health care. In general patents records are very huge incomplete, inconsistent, noisy and contains many attributes some of attributes of them may be irrelevant. It is very difficult to analyze huge amount of medical data and take decision and support by manually and Information technologies provide several tools by which it becomes easy to analyze medical data. With the enormous amount of data stored in files, databases, and other repositories, it is increasingly important, if not necessary, to develop powerful means for analysis and interpretation of data and for the extraction of inte resting knowledge that could help in decision - making. Data Mining, also popularly known as Knowledge Discovery in Databases (KDD)[1], refers to as ”the nontrivial process of identifying valid, novel, potentially useful and ultimately understandable pattern in data”.

Authors and Affiliations

Aditya Mansana, Aparna Dubey, Dr. Vishnu Kumar Mishra

Keywords

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  • EP ID EP18067
  • DOI -
  • Views 339
  • Downloads 9

How To Cite

Aditya Mansana, Aparna Dubey, Dr. Vishnu Kumar Mishra (2014). slugIntelligent Data Mining Techniques in Cancer Disease Pattern Detection. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://europub.co.uk/articles/-A-18067