Health Web Science
Produktnummer:
184e50fcef722548babf890ae04e98a384
Autor: | Denecke, Kerstin |
---|---|
Themengebiete: | Data Integration Health 2.0 Health informatics Health web science Information Extraction Information Retrieval Information System Medicine 2.0 Social Media Text mining |
Veröffentlichungsdatum: | 22.10.2016 |
EAN: | 9783319352237 |
Sprache: | Englisch |
Seitenzahl: | 168 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer International Publishing |
Untertitel: | Social Media Data for Healthcare |
Produktinformationen "Health Web Science"
This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media’s role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

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