Email this article Monitoring User Health Condition on Social Based on their Tweets
Abstract
Twitter is used for community health nursing to excerpt initial pointers of the well-being of in habitants in dissimilar physical areas. Twitter has developed a main basis of data for initial monitoring and forecast in extents such as strength, cataclysm organization and government. We grow TM–ATAM that replicas chronological changes of health-related themes. To speech the forecast problematic, we suggest T–ATAM, an original method which exposes dormant illness confidential tweets by giving time as a chance mutable natively confidential ATAM. Giving time as a chance adjustable is key to forecasting the understated alteration in health-related dissertation on Twitter.
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