Abstract
The increase in health-related communication due to Social Media (SM) has significantly contributed to the rapid progress of the healthcare industry. SM allows for 2-way communication among the patients, health experts, and third parties. It has become a major platform in which the public searches for information related to health care. Hence, the SM has developed as the largest source of discussions related to health care worldwide. Rich healthcare content is generated daily by the large network of healthcare stakeholders such as patients, doctors, pharmaceutical companies, organizations, government agencies on these Social Media platforms (SMP). Valuable knowledge can be extracted from this huge healthcare data if proper techniques are adopted. If this healthcare data related to SM is mined effectively, then the majority of the patient needs may be satisfied. In view of these aspects, this chapter describes how Social Media Analytics (SMA) is being applied in the domain of health care. The chapter focuses on the different SMA approaches used in health care, followed by certain recent case studies of SMA in health care. The research areas that can be explored for SMA in healthcare are also discussed along with certain drawbacks.
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Aditya Shastry, K., Sanjay, H.A., Kumar, M. (2021). Social Media Analytics for Health Care. In: Srinivasa, K.G., G. M., S., Sekhar, S.R.M. (eds) Artificial Intelligence for Information Management: A Healthcare Perspective. Studies in Big Data, vol 88. Springer, Singapore. https://doi.org/10.1007/978-981-16-0415-7_6
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