This new book offers vital insights into the use of data analytics in social media for effective communication for health promotion and illness prevention and for healthcare information security, harnessing the power of data mining tools and techniques, artificial intelligence, and other advanced technologies. The book discusses collecting information intelligently from social media, which has sparked the interest of the biomedical and health informatics communities. It shows how using consumer-generated data can improve the effectiveness of public health messages as well as for better healthcare outcomes while cutting costs. It looks at data mining and analytic tools with deep and machine learning technologies for the development of effective communication strategies, for the early detection of health conditions, for using social media for health promotion and disease prevention messages, and more. The book covers digital issues in healthcare, such as cybersecurity threats and provides useful ways to manage these risks. It also looks at how mental health is portrayed in the media and the strength of social media activism movements, as seen by the #Stoptrolling movement. The COVID-19 epidemic highlighted the significance of clear, accurate, and timely communication in healthcare, and this book investigates how social media platforms played a critical role in sharing critical information during this worldwide disaster. Intelligent Data Analytics in Media Communication to Improve Public Health Care provides a thorough and forward-thinking study of using today advanced technology for improving healthcare via the creative use of social media and technology.