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Author: OECD
Publisher: OECD Publishing
ISBN: 926422842X
Category :
Languages : en
Pages : 114
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Book Description
This workshop proceedings advances international discussion of the opportunities and challenges, as well as successful strategies, for sharing and linking the massive amounts of population-based health and health care data that are routinely collected.
Author: OECD
Publisher: OECD Publishing
ISBN: 926422842X
Category :
Languages : en
Pages : 114
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Book Description
This workshop proceedings advances international discussion of the opportunities and challenges, as well as successful strategies, for sharing and linking the massive amounts of population-based health and health care data that are routinely collected.
Author: Geoff Anderson
Publisher: OCDE
ISBN: 9789264228412
Category : Alzheimer's disease
Languages : en
Pages : 0
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Book Description
"Organisation for Economic Co-operation and Development (OECD), the Ontario Brain Institute (OBI) and the Institute of Health Policy, Management and Evaluation (IHPME) of the University of Toronto jointly hosted a workshop on 14-15 September 2014"--Page 11.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264231722
Category :
Languages : en
Pages : 126
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Book Description
This book examines the large and growing human and financial cost of dementia and discusses policy options for improving care, controlling costs, and facilitating research.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264242651
Category :
Languages : en
Pages : 76
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Book Description
OECD Insights: Ageing discusses the problems, challenges, and opportunities that ageing brings to citizens and governments in developed and developing countries.
Author: Marco Canevelli
Publisher: Frontiers Media SA
ISBN: 2889455238
Category : Aging
Languages : en
Pages : 121
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Book Description
The number of older subjects is rapidly increasingly worldwide. As a consequence, the nature of clinical conditions is also changing. Traditional medicine and models of care have been based on the evaluation and treatment of single and usually acute conditions occurring in relatively young individuals. Today, the usual clinical manifestation of diseases is characterized by multiple and often chronic conditions affecting older people. In this scenario, frailty and dementia have been triggering special interest both in research and clinical settings due to their high prevalence, impact on the individual’s quality of life, and consequences for public health worldwide. These conditions aptly reflect the complexity of age-related pathological conditions, finding as causal factor a myriad of heterogeneous, interacting, and often still unclear pathophysiological processes. Indeed, their study is strongly affected by the difficulty to differentiate the effects of a normal aging process from eventual pathological deviations of the underlying systems. Their occurrence and trajectories over time are strongly affected by a wide array of factors and determinants that can be hardly attributed to the deficit/involvement of single biological systems and/or health domains. Moreover, environment and social factors also play a key role in the determination of phenotypes. The present Research Topic is aimed at widening our understanding of the frailty and dementia phenomena occurring with aging, in order to improve the clinical and public health approaches to these burdening conditions.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264266437
Category :
Languages : en
Pages : 231
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Book Description
This report discusses the need for an integrated and cyclical approach to managing health technology in order to mitigate clinical and financial risks, and ensure acceptable value for money.
Author: Tarun Weeramanthri
Publisher: Frontiers Media SA
ISBN: 2889455017
Category :
Languages : en
Pages : 149
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Book Description
Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264660550
Category :
Languages : en
Pages : 80
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Book Description
Health data are essential to modern health care delivery, health system management and research and innovation, and must be well governed to foster their use while protecting privacy and data security. The 2016 OECD Recommendation on Health Data Governance provides a roadmap towards more harmonised approaches to health data governance across countries.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264229353
Category :
Languages : en
Pages : 456
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Book Description
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128230029
Category : Medical
Languages : en
Pages : 386
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Book Description
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease and Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. - Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders - Analyzes methods in using big data to treat psychiatric and neurological disorders - Describes the role machine learning can play in the analysis of big data - Demonstrates the various methods of gathering big data in medicine - Reviews how to apply big data to genetics
