Use of Data Mining to Predict Human Diseases


Authors : Saumya Shandilya

Volume/Issue : Volume 2 - 2017, Issue 10 - October

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/zethz6

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

In this project, we intend to make an intelligent agent that asks the user about their medical symptoms and tries to predict the most probable diseases/medical conditions that they might be suffering from. Based on the results, it can also direct the user/patient to go to pharmacy or consult a doctor or to go for medical emergency services. It is truly said that “Prevention Is Better Than Cure”. Sometimes diseases like cancers have very minor symptoms in the early stages but if detected this could save a patient’s life. There is no harm in taking preventive medical advice than regretting later. Artificial Neural Networks (ANN) is currently a ‘hot’ research area in medicine and it is believed that they will receive extensive application to biomedical systems in the next few years. An application called the “Instant Physician” trained an auto associative memory neural network to store a large number of medical records. After training, the net can be presented with input consisting of a set of symptoms; it will then find the full stored pattern that represents the “best” diagnosis and treatment. This product can be useful for various users such as:

Keywords : Artificial Neural Networks, Associative Memory Neural Network, Data Mining

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