Health Web Science
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| Author | : Kerstin Denecke |
| Publisher | : Springer |
| Total Pages | : 167 |
| Release | : 2015-08-31 |
| Genre | : Medical |
| ISBN | : 331920582X |
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.
| Author | : Mary Baker Eddy |
| Publisher | : |
| Total Pages | : 730 |
| Release | : 1912 |
| Genre | : Christian Science |
| ISBN | : |
| Author | : Roger Tourangeau |
| Publisher | : |
| Total Pages | : 209 |
| Release | : 2013-05-09 |
| Genre | : Psychology |
| ISBN | : 0199747040 |
In this volume, the authors provide a comprehensive summary of the literature on this method of data collection that is rapidly growing in popularity. The book includes new syntheses of the authors' work and other important research on Web surveys, including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection.
| Author | : Leo Anthony Celi |
| Publisher | : Springer Nature |
| Total Pages | : 471 |
| Release | : 2020-07-31 |
| Genre | : Medical |
| ISBN | : 3030479943 |
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
| Author | : Institute of Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 334 |
| Release | : 2009-03-24 |
| Genre | : Computers |
| ISBN | : 0309124999 |
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
| Author | : David Riaño |
| Publisher | : Springer |
| Total Pages | : 431 |
| Release | : 2019-06-19 |
| Genre | : Computers |
| ISBN | : 303021642X |
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 23 |
| Release | : 2006-02-19 |
| Genre | : Science |
| ISBN | : 0309101174 |
Science, Medicine, and Animals explains the role that animals play in biomedical research and the ways in which scientists, governments, and citizens have tried to balance the experimental use of animals with a concern for all living creatures. An accompanying Teacher's Guide is available to help teachers of middle and high school students use Science, Medicine, and Animals in the classroom. As students examine the issues in Science, Medicine, and Animals, they will gain a greater understanding of the goals of biomedical research and the real-world practice of the scientific method in general. Science, Medicine, and Animals and the Teacher's Guide were written by the Institute for Laboratory Animal Research and published by the National Research Council of the National Academies. The report was reviewed by a committee made up of experts and scholars with diverse perspectives, including members of the U.S. Department of Agriculture, National Institutes of Health, the Humane Society of the United States, and the American Society for the Prevention of Cruelty to Animals. The Teacher's Guide was reviewed by members of the National Academies' Teacher Associates Network. Science, Medicine, and Animals is recommended by the National Science Teacher's Association NSTA Recommends.
| Author | : Committee for the Study of the Future of Public Health |
| Publisher | : National Academies Press |
| Total Pages | : 240 |
| Release | : 1988-01-15 |
| Genre | : Medical |
| ISBN | : 0309581907 |
"The Nation has lost sight of its public health goals and has allowed the system of public health to fall into 'disarray'," from The Future of Public Health. This startling book contains proposals for ensuring that public health service programs are efficient and effective enough to deal not only with the topics of today, but also with those of tomorrow. In addition, the authors make recommendations for core functions in public health assessment, policy development, and service assurances, and identify the level of government--federal, state, and local--at which these functions would best be handled.
| Author | : Joanne S. Luciano |
| Publisher | : |
| Total Pages | : 174 |
| Release | : 2014-07-31 |
| Genre | : Computers |
| ISBN | : 9781601988225 |
This monograph presents Health Web Science as a sub-discipline of Web Science that, while being concerned with the Web's impact on health and wellbeing, also examines the impact of the Web's health-related uses on the design, structure, and evolution of the Web itself.
| Author | : Pieter Kubben |
| Publisher | : Springer |
| Total Pages | : 219 |
| Release | : 2018-12-21 |
| Genre | : Medical |
| ISBN | : 3319997130 |
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
