Abstract: 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. For this health care we take most prevalent cancers: lung cancer. Our proposed approach we employ investigatory analysis using the SSOMs to check the correlations between user posts and positive or negative judgment on drug. Then we use the hierarchical clustering, it measures the starting with an empty network of n vertices and no edges, one add edges between pairs of vertices in order of decreasing similarity, starting with the pair with strongest similarity.
Keywords: Social media, Health Informatics, lung cancer, SOM and hierarchical clustering.