Identifying symptoms and treatment for heart disease from biomedical literature using text data mining

摘要

As the heart diseases causing the major problem and they became the main cause of death worldwide, because it is very difficult for identifying the disease, based on symptoms, for that we need lots of experience and also knowledge. For knowing and identifying it is taking a lot of time for doctors also, because they have to observe the health condition and also the food habits of the patients, it is being a very long process, that the patient has to go to doctor and take the test and it is being a long process. The identification of the symptoms and also predicting the disease should be done fastly and efficiently, the problem of identifying and also predicting should be solved. we are proposing a technique, which predicts of the disease and probability of the disease and probability of the disease and probability of getting attacks, and there is predicted based on the patient data set. In our sector of health we have lots of information which is hidden and it may be useful for us in making the effective and also the precise decisions. Medicine Analysis is achieved by evidence using data mining Technique. Process is achieved by Analysis of Patient heart Health Condition, Formulating Questions gives heart diseases, Gathering evidences Analysis about heart disease. we modify an Automatic Machine Technique is used for Disease identification and correct Medicine Analysis based on evidence is achieved. Until Disease is not yet Diagnosis Evidence based Medicine Analysis is of no use. We also analyze the disease and best drug advised to that specific patient.