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Cross-Border Challenges in Informatics with a Focus on Disease Surveillance and Utilising Big Data

challenges in informatics with a focus on disease surveillance and utilizing big data , and the conference addressed a range of important aspects;

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Disease Surveillance

An up-to-date and comprehensive treatment of biosurveillance techniques With the worldwide awareness of bioterrorism and drug-resistant;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Event-Driven Surveillance

with this data. Surveillance or early warning systems enable such detection of changes and support humans in getting information on;

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Big Data and Analytics for Infectious Disease Research, Operations, and Policy

other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and;

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Big Data, Crime and Social Control

the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential;

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Big Data, Crime and Social Control

the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential;

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A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases

in incidence and prevalence of the diseases by race, ethnicity, socioeconomic status, and geographic region, along with data on disease risk factors;

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Disease Surveillance

This book will show you how new reporting requirements, combined with new technologies, big data sources, and sophisticated analytic;

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Disease Surveillance

surrounding such software. This book will show you how new reporting requirements, combined with new technologies, big data sources, and;

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Machine Learning for Health Informatics

challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI;

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Population Health Informatics + Navigate 2 Advantage Access Code

big data, cloud computing, mobile health, surveillance, and visualization-all from the perspective of the end user using simple, reader;

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Causation in Population Health Informatics and Data Science

sciences and public health is suggested. Causation in Population Health Informatics and Data Science provides a detailed guide of the latest;

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Predict and Surveil

, and challenges civil liberties. A groundbreaking examination of big data policing, this book challenges the way we think about the data;

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Healthcare Informatics for Fighting COVID-19 and Future Epidemics

a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange;

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Privacy Survelliance with New Technologies

overview of government surveillance with new technology and selects five specific issues Video surveillance Border searches of electronic devices;

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Advances and New Trends in Environmental Informatics

-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and;

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The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing;

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Knowledge Region: Alps-Adriatic Challenges

. Its empirical focus is on the Alps-Adriatic cross-border region in Central Europe with some international comparisons. Here the dense fabric;

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Sustaining Global Surveillance and Response to Emerging Zoonotic Diseases

systems are used to detect this threat to human and animal health. By systematically collecting data on the occurrence of infectious diseases;

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Cross Reality and Data Science in Engineering

Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects;

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Cross-Border E-Commerce Marketing and Management

was conceptualized by identifying the scope of new complementary information with a comprehensive understanding of the issues and potential of cross-border e;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive;

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Demystifying Big Data and Machine Learning for Healthcare

intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data;

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Demystifying Big Data and Machine Learning for Healthcare

technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with;

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Cross-Border Collaborative Journalism

from the author's own experience, as well as exclusive interviews with other pioneers of cross-border journalism, and notable case studies are;

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