Intelligent data mining technique of social media for improving health care

A Data offers many facilities to the end users such as software, organization and platform go on. In this paper, we study about the wisely mining knowledge of social media. Social media becomes much popular from the health care information and Biomedical. This information is commonly shared so healthcare is improves and costs is decrease using opinion which is generated by user. We suggest investigation framework that give attentions on side effects of drugs and also focus on positive and negative response. To improve health care some Clinical documents are mostly useful because it's are free-text data sources. Clinical documents containing information related to symptoms and valuable medications. To extract a Data from large dataset it's become a very popular because users get various ideas from this filtered data. All Data Mining and Knowledge mining become popular because user are process on data and getting information of different area like health, Social, etc. After data processing we focus on users positive and negative opinions. We count this opinions and find out which medication is good, to decide this we also find out the side effects of the medications. Further we focus on the symptoms of the cancer patient. By taking the expert doctors suggestion, we list out the medication of the cancer according to the symptoms and we provide this medication or treatment to the user on our forum. We can expand our research into Data and Knowledge mining of social media and takes the users' views on various drugs of cancer. This daily updated data helps to pharmaceutical industry, doctors, hospitals, and medical staff, for effective future treatments.