Cantitate/Preț
Produs
Total produse
Vezi coșul
Social Web and Health Research: Benefits, Limitations, and Best Practices de Jiang Bian

Social Web and Health Research: Benefits, Limitations, and Best Practices

Editat de Jiang Bian, Yi Guo, Zhe He, Xia Hu
en Limba Engleză Hardback – 11 iul 2019
This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 68477 lei  6-8 săpt.
  Springer International Publishing – aug 2020 68477 lei  6-8 săpt.
Hardback (1) 93419 lei  6-8 săpt.
  Springer International Publishing – 11 iul 2019 93419 lei  6-8 săpt.

Preț: 93419 lei

Preț vechi: 113925 lei
-18% Nou

Puncte Express: 1401
Preț estimativ în valută:
17887€ • 18626$ • 14841£

Carte tipărită la comandă

Livrare economică 14-28 februarie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030147136
ISBN-10: 3030147134
Pagini: 290
Ilustrații: XIII, 272 p. 31 illus., 19 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

1. A literature Review of Social Media-based Data Mining for Health Outcomes Research.- 2. Social Media-Based Health Interventions: Where Are We Now?.- 3. Quantifying and Visualizing the Research Status of Social Media & Health Research Field.- 4. Social Media in Health Communication.- 5. Consumers' Selection of Sources in Searching for Health Information.- 6. Understanding and Bridging the Language and Terminology Gap between Health Professionals and Consumers using Social Media.- 7. Dissemination of Information on Stigmatized Health Issues on Social Media.- 8. Learning Wellness Profiles of Users on Social Networks: The Case of Diabetes.- 9. Social Media and Psychological Disorder.- 10. Content Analysis of the 2015 #SmearForSmear Campaign Using Deep Learning.- 11. How to Improve Public Health via Mining Social Media Platforms: A Case Study of Human Papillomaviruses (HPV).- 12. Learning Hormonal Therapy Medication Adherence from an Online Breast Cancer Forum.- 13. Ethics in Health Research using Social Media.

Notă biografică

Jiang Bian 
Dr. Bian is an Assistant Professor of Biomedical Informatics in the Department of Health Outcomes and Biomedical Informatics at the University of Florida.  He is also the Director of Cancer Informatics and eHealth Core for the University of Florida Health Cancer Center.  He has a diverse yet strong multi-disciplinary background and extensive expertise in social media analysis, machine learning, natural language processing, network science, ontology development and evaluation, semantic web technology and software engineering. 
Yi Guo 
Dr. Yi Guo is an Assistant Professor in the Department of Health Outcomes and Biomedical Informatics in the College of Medicine at University of Florida.  He is a health outcomes researcher and data scientist with expertise in data integration and discovery, multilevel and longitudinal models, health risk prediction models, quality measurement and psychometric analysis, and power and sample size analysis.
Zhe He 
Dr. Zhe He is an Assistant Professor in the School of Information at the Florida State University. He is an Associate Editor of BMC Medical Informatics and Decision Making. His research lies in biomedical and health informatics, clinical research informatics, knowledge discovery, knowledge representation, and ontology-enhanced data analytics. His research aims to improve the population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources.
Xia Hu 
Dr. Xia "Ben" Hu is currently a tenure-track Assistant Professor at Texas A&M University in the Department of Computer Science and Engineering. Dr. Hu has published nearly 100 papers in several major academic venues, including WWW, SIGIR, KDD, ICDM, SDM, WSDM, IJCAI, AAAI, CIKM, ICWSM, etc. His work on deep collaborative filtering, anomaly detection and knowledge graph have been included in the TensorFlow package, Apple production system and Bing production system, respectively.   




Textul de pe ultima copertă

This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research.

Caracteristici

Covers state-of-art techniques and applications for harnessing social web in health research Presents success stories of leveraging social web in health research Illustrates in detail mainstream data mining techniques for analyzing social web data and their pros and cons Discusses the limitations and potential biases of using social media data in health research and how to potentially mitigate these limitations Reviews how behavioral interventions can be carried out using social web