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1. |
Record Nr. |
UNINA9910790524503321 |
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Titolo |
Integrated emergency management for mass casualty emergencies : proceedings of the NATO Advanced Training Course on Integrated Emergency Management for Mass Casualty Emergencies organized by CESPRO, University of Florence, Italy / / edited by David Alexander, Emmanuela Masini, and Laura Mugnai |
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Pubbl/distr/stampa |
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Amsterdam ; ; Washington, DC : , : IOS Press, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (116 p.) |
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Collana |
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NATO science for peace and security series - E: Human and societal dynamics ; ; volume 113 |
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Altri autori (Persone) |
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AlexanderDavid |
MasiniEmmanuela |
MugnaiLaura |
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Disciplina |
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Soggetti |
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Disasters |
Emergency management |
England London |
Spain Madrid |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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""INTEGRATED EMERGENCY MANAGEMENT FOR MASS CASUALTY EMERGENCIES""; ""Preface""; ""Contents""; ""Perspectives on Integrated Emergency Response""; ""Hospital Response and Natural Disasters""; ""The Role of Hospitals in the International Disaster Response""; ""Optimal fluid administration in pre-hospital field""; ""Disasters and Mass Casualty Incidents: The Dual use of Field Hospitals. The Experience of the Italian Alpini Field Hospital during Disasters""; ""Integrated Response to CBRN Mass-Casualty Events""; ""Response To Nuclear Mass Casualty Events: The Nuclear Medical Approach"" |
""A novel approach to hospital evacuation: the role of trained medical students""""Emergency medical management at the Madrid train bombings1""; ""Emergency medical and public health responses to the 2005 London bombings""; ""Interactive Didactics: “Auxilium!� |
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Simulation Game""; ""Subject Index""; ""Author Index"" |
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Sommario/riassunto |
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Responses to major disasters tend to be complex, not merely because of the size and scale of operations and the number of countries and agencies involved, but also because of the range of functions represented by these organizations. A full-scale emergency response can involve people trained in at least 35 different disciplines and professions. This increasing sophistication of modern emergency response makes the process of coordination a particularly challenging one. It involves matching urgent needs with available resources in the most rapid and efficient way possible: timely mobilization an |
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2. |
Record Nr. |
UNINA9910767507003321 |
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Titolo |
Internet of Things and Big Data Technologies for Next Generation Healthcare / / edited by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (X, 388 p. 159 illus.) |
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Collana |
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Studies in Big Data, , 2197-6503 ; ; 23 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Medical informatics |
Biomedical engineering |
Medicine - Practice |
Computational Intelligence |
Artificial Intelligence |
Health Informatics |
Biomedical Engineering and Bioengineering |
Practice and Hospital Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Sommario/riassunto |
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This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data. |
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