The pandemic emergence has placed tremendous burden and cost on an already stressed system. Insurers, health providers, public health officials, and nonprofit organizations are desperately seeking for solutions, with data analytics leading the way to help identify anomalies and abuses in the system. In addition to this, the data scientists and AI experts often face shortcomings due to unavailability of relevant data from authentic source. Interestingly, Twitter has shown potential for monitoring public health trends. It has proved to be an important source of health-related information on the Internet. Amount of information is shared by both citizens and official sources. Furthermore Twitter has the capacity to afford the healthcare industry with valuable feedback from patients who reveal and express their medical decision-making process, as well as self-reported quality of life indicators both during and post treatment.
Therefore we propose #healthTrend that analyzes tweets related to the patient experience to understand Public Reaction, Outbreak and Emergency, Day to day people health needs, and Public Lifestyle. Moreover, it can be beneficial to Faster responsive health service, Estimation for prediction. #healthTrend will be beneficial for the Government and healthcare policy makers to shape the future of the healthcare.
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