Enhancement of Healthcare Using Naive Bayes Algorithm and Intelligent Datamining of Social Media

摘要

In this paper, we propose a novel quality mindful data digging programming empowered framework for cleverly gaining the knowledge about the cancer medicine, to educate and interact with patients. The Social media can also used for data extraction for simultaneously improving health care outcomes using user generated sentimental analysis of medicine to improve the quality of drugs by using social media as a resource. It is a great technology advancement in medical science. The heavy assurance on social networking sites led them to generate massive data on social media and which increase the opportunity of improvement of the medicine. Physician and biomedical scientist could collect the feedback from other doctors and patients to improve their knowledge enlightened for healthcare decisions. Naive Bayes algorithms are used for performing the sentimental analysis for differentiating the positive and negative reviews of the patients. This framework helps the medical institute for obtaining better knowledge for choosing which drug getting more benefit and give minimum side effects.