Social Monitoring for Public Health: Synthesis Lectures on Information Concepts, Retrieval, and Services
Autor Michael J. Paul, Mark Dredzeen Limba Engleză Paperback – 31 aug 2017
This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.
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Specificații
ISBN-13: 9783031011832
ISBN-10: 303101183X
Ilustrații: XIX, 163 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.33 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Information Concepts, Retrieval, and Services
Locul publicării:Cham, Switzerland
ISBN-10: 303101183X
Ilustrații: XIX, 163 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.33 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Information Concepts, Retrieval, and Services
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Acknowledgments.- A New Source of Big Data.- Public Health: A Primer.- Social Data.- Methods of Monitoring.- Public Health Applications.- Limitations and Concerns.- Looking Ahead.- Bibliography.- Authors' Biographies.
Notă biografică
Michael J. Paul is an assistant professor in Information Science at the University of Colorado, Boulder. He develops data science techniques for analyzing and organizing large text datasets, used for applications in health science and computational epidemiology. His work was among the first to identify the broad set of health issues that can be studied in Twitter, and his research has advanced the state of the art in influenza surveillance on multiple occasions. He is a former Twitter intern, and his work with Mark Dredze was featured in a video as part of the Twitter Stories series. He obtained his Ph.D. in Computer Science from Johns Hopkins University in 2015. See his website for more information: http://www.michaeljpaul.comMark Dredze is an associate professor in Computer Science at Johns Hopkins University. He is affiliated with the Center for Language and Speech Processing, the Human Language Technology Center of Excellence, and the Malone Center for Engineering in Healthcare. His work focuses on developing machine learning models for natural language processing (NLP) applications. He has pioneered new applications of these technologies in public health informatics, including work with social media data, biomedical articles, and clinical texts. His work is regularly covered by major media outlets, including NPR, The New York Times, and CNN. He obtained his Ph.D. in Computer Science from the University of Pennsylvania in 2009. See his website for more information: http://www.dredze.com