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Disease diagnosis using association rule mining based knowledge inference system
Published in International Journal of Pharmacy and Technology
2016
Volume: 8
   
Issue: 3
Pages: 16369 - 16379
Abstract
Data mining is the process of knowledge extraction from a bulk of data so that we can use it in future. This research is to identification of convoluted disorder and render reason of “why the person suffering from this disease” so that doctors can provide best solution to the patients. To discover the recurrent data that have affinity with each other is handling with association rule. We primarily focus on breast cancer disease that has the second place in the list of major cancer in women,after the lung cancer. According to the WHO report in every eight women,one woman has breast cancer and breast cancer is finding more in developing country rather than developed countries.Apriori algorithm is proposed to find the frequent item set and rule generation from the breast cancer data so that we can help other patients and as well as doctors to making decision on what particular reason that a patient got the breast cancer. The model is designed and implemented in C# language to generate rule and developing secured system that is very easy to use and efficient. © 2016,International Journal of Pharmacy and Technology. All rights reserved.
About the journal
JournalInternational Journal of Pharmacy and Technology
PublisherInternational Journal of Pharmacy and Technology
ISSN0975766X
Open AccessNo