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Using Data Management Techniques to Modernize Healthcare

who match up well with their specific needs. Using Data Management Techniques to Modernize Healthcare explains how to modernize your HR;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Healthcare Data Analytics and Management

, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;

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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;

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Artificial Intelligence for Information Management A Healthcare Perspective

techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques;

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Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare

to clinical data regardless of geographic location. The Handbook of Research on Information Technology Management and Clinical Data;

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Transforming Healthcare Analytics

with data management can deliver insight-driven decisions. The authors-a data management and analytics specialist and a healthcare finance;

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Leveraging Data in Healthcare

are ever-increasing challenges. Finding ways to operationalize business and clinical data management in the face of government and market;

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Leveraging Data in Healthcare

are ever-increasing challenges. Finding ways to operationalize business and clinical data management in the face of government and market;

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Healthcare Knowledge Management Primer

manner the key concepts of KM tools, strategies and techniques, and their benefits to contemporary healthcare organizations.;

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Healthcare Knowledge Management Primer

manner the key concepts of KM tools, strategies and techniques, and their benefits to contemporary healthcare organizations.;

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Project Management for Healthcare

of project management. The most significant change in healthcare is the prevalence of online data and the need for its protection. The book explains;

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Project Management for Healthcare

of project management. The most significant change in healthcare is the prevalence of online data and the need for its protection. The book explains;

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Healthcare Analytics

analytics from population data to geospatial analysis using current case studies and data analysis examples in health. This resource will appeal;

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Smart Healthcare Systems

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from;

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Cognitive Intelligence and Big Data in Healthcare

be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into;

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Strategic Data Management for Successful Healthcare Outcomes

Strategy is paramount for successful modern healthcare data management. The healthcare landscape continues to evolve in an effort to;

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Big Data in Healthcare

: using real-world data to compare hospitals’ performance; measuring the prognosis of patients through massive data; distinguishing between fake;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured;

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Artificial Intelligence for the Internet of Health Things

of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data;

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Internet of Things and Big Data Technologies for Next Generation Healthcare

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the;

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Fundamentals of Clinical Data Science

related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model;

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Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes

treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital;

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Wearable Telemedicine Technology for the Healthcare Industry

and management using machine learning techniques, and more Integrates coverage of a number of key wearable technologies, such as;

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Medical Informatics

incorporates different sources of clinical data to render support for solving problems of identity management, comparability of data, protection;

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Health Informatics A Computational Perspective in Healthcare

doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that;

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Innovation in Medicine and Healthcare 2015

today by using advanced information communication techniques, computational intelligence, mathematics, robotics and other advanced technologies;

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