Implementing Classification algorithms in Medical Report Analysis for helping Patient during unavailability of Medical expertise

摘要

In all the applications which utilize Data Mining techniques, there is a rapid increase in its usage in the Healthcare sector. The process of disease diagnosis for patients, especially who are remotely located makes them rely on the experience of medical personnel and their perception is the only source for genuine prescriptions for these patients. The prime focus of this research is predicting diseases using classification methods for providing medical expertise to those patients' so that they can have further action taken in response to the disease or disorder with medical reports being available at hand. The objective here is to provide a guiding process which makes optimum predictions based on certain input features and certain metrics such as precision, accuracy etc.. The study is done comprehensively on independent datasets using techniques such as classification tree, k-NN, and Naive Bayes. Finally, outcome shows that kNN outlasts other used algorithms and provides better results.