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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Rishabha Malviya, PhD, is an Associate Professor of Pharmacy at the School of Medical and Allied Sciences, Galgotias University, India. He has 12 years of research experience. His area of interest includes formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery, and characterization of natural polymers as pharmaceutical excipients. He has authored more than 200 research and review papers and holds 58 patents (19 grants, 38 published, one filed). He has authored and edited 110 books and authored 175 book chapters. He is a reviewer, editor, and editorial board member of more than 50 national and international journals of repute. Dr. Malviya is listed in the World's Top 2% of Scientists by Stanford University.
Swati Verma, MPharm, is working in the Department of Pharmacy at I.T.S. College of Pharmacy, Ghaziabad, Uttar Pradesh, India. Her areas of interest are in computer-aided drug design, analytical chemistry, targeted drug delivery, and nanoformulation. She has authored many review papers published in international journals. She has also authored several book chapters and edited three books. Her PhD work is in neurodisorders.
Harish Kumar, PhD, is working in the Department of Mass Communication, Faculty of Arts and Social Studies, at St. Xavier's University, Kolkata, India. He is an editorial board member of The Researcher and the Asia Pacific Journal of Media and Broadcasting. He has contributed research papers and chapters in edited volumes and has created content for MOOC platforms like E-PG Pathshala and SWYAM. Dr. Kumar is supervising three PhD scholars. He is a member of the boards of studies and research committees of several universities. He has 12 years of academic experience and five years of industry experience (radio and television).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. 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. Details gathering information from social media for health purposes. Looks at data mining and analytic tools with deep and machine learning technologies for creating effective health communication strategies, for early detection of health conditions, using social media for health promotion, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781779643520
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Hardcover. Etat : new. Hardcover. 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. Details gathering information from social media for health purposes. Looks at data mining and analytic tools with deep and machine learning technologies for creating effective health communication strategies, for early detection of health conditions, using social media for health promotion, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781779643520
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