Intelligent Data Analytics in Media Communication to Improve Public Health Care

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.

Foreword by Rahul Dev Preface PART I: Social Media and Healthcare: Advancements in Computation Techniques for Health Management 1. Data Mining Techniques in Social Media 2. Social Media Analytics and Healthcare Promotion: A Review of Effects and Usage of Data Analytic Tools with Deep and Machine Learning Technologies 3. Use of Artificial Intelligence in Healthcare Management: Issues and Challenges 4. Data Mining and Electronic Commerce to Improve Public Health Care 5. Tackling Cybercrime: A Comprehensive Study of Mitigation Strategies for Various Types of Cyber Attacks in Healthcare 6. Health Within Arms Reach: A Review Study on Utility and Reception of m-Health Services in India 7. Intelligent Data Analytics and Visualisation Based Study of Fast Food Impact on Public Health 8. Predicting Early Signs of Heart Attack by Implementing Smart Health Monitoring Using IoMT Devices 9. Data Mining in Social Media: From Noise to Knowledge 10. The Intersection of Social Media and Public Health: A Review of Sentiment Analysis, Social Network Analysis, Trend Analysis, and Topic Modeling Part II: Social Media and Healthcare: Roles and Advances 11. Harnessing the Power of Social Media for Health Promotion and Disease Prevention 12. Detection and Classification of Media for Improving Healthcare 13. Development of Effective Communication Strategy for Menstrual Hygiene In Rural India 14. Health Messages on Social Media Platforms in the Age of Artificial Intelligence 15. Early Detection of Health Conditions Using Electronic Media 16. Challenges to Social Media for Improving Health Care 17. The Challenges to Social Media for Improving Health Care during Covid-19 18. A Thematic Analysis of "Hashtag Stoptrolling" (#Stotptrollig ) Activism Campaign on Twitter: Gatekeeping of Information on Social Media, Reasons, Effects, Appeals, and Suggestions 19. Media Depictions of Mental Illness: An Analytical Study 20. Future Trends of Social Media in Health Care Promotion 21. Health Communication in India during Covid-19 22. Health Reporting in India: Public Health Development and Promotion