Network Based Modeling and Intelligent Data Mining of Social Media for Improving Care
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Description
Social media provide an intelligence information extraction for the area of Health Informatics, including Bioinformatics, Image Informatics, Clinical Informatics, Public Health Informatics, etc. To improve the health care outcomes with reduced cost we propose the framework which concentrates on positive and negative symptoms of the disease and also the side effects of the treatment. Social media, assorting from individual messaging to live for as, is providing immeasurable opportunities for patients to converse their experiences with drugs and devices. Social media allows message, contribution, gathering information, and distribution in the healthcare space. Healthcare space is one which contains the information of the patients with their permissions. It provides an effective social networking environment. Social media provide an intelligence information extraction for the area of Health Informatics, including Bioinformatics, Image Informatics, Clinical Informatics, Public Health Informatics, etc. The proper way to mine information and drift from the knowledge is cloud. To improve the health care outcomes with reduced cost the system propose the framework which concentrates on positive and negative symptoms of the disease and also the side effects of the treatment. Many previous studies none have identified influential users, and how forum relationships affect network dynamics. In this project the system propose a two-step analysis framework. In the first stage the system employ exploratory analysis using the self-organizing maps. In the second stage the system model the users and their posts using a network-based approach.