Healthcare Data Analytics and Management

Written By Nilanjan Dey
Healthcare Data Analytics and Management
  • Publsiher : Academic Press
  • Release : 15 November 2018
  • ISBN : 0128156368
  • Pages : 340 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Healthcare Data Analytics and Management written by Nilanjan Dey which was release on 15 November 2018, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Healthcare Data Analytics and Management

Healthcare Data Analytics and Management
  • Author : Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
  • Publisher : Academic Press
  • Release Date : 2018-11-15
  • Total pages : 340
  • ISBN : 0128156368
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Summary : Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this ...

Statistics Data Analytics for Health Data Management

Statistics   Data Analytics for Health Data Management
  • Author : Nadinia A Davis
  • Publisher : Elsevier Health Sciences
  • Release Date : 2015-12-28
  • Total pages : 212
  • ISBN : 0128156368
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Summary : Introducing Statistics & Data Analytics for Health Data Management by Nadinia Davis and Betsy Shiland, an engaging new text that emphasizes the easy-to-learn, practical use of statistics and manipulation of data in the health care setting. With its unique hands-on approach and friendly writing style, this vivid text uses real-world examples ...

Big Data and Health Analytics

Big Data and Health Analytics
  • Author : Katherine Marconi,Harold Lehmann
  • Publisher : CRC Press
  • Release Date : 2014-12-20
  • Total pages : 382
  • ISBN : 0128156368
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Summary : Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery.Written for healt...

Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management
  • Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
  • Publisher : Academic Press
  • Release Date : 2019-04-15
  • Total pages : 312
  • ISBN : 0128156368
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Summary : Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings ...

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare
  • Author : Kun Chang Lee,Sanjiban Sekhar Roy,Pijush Samui,Vijay Kumar
  • Publisher : Academic Press
  • Release Date : 2020-10-23
  • Total pages : 292
  • ISBN : 0128156368
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Summary : Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data ...

Applied Health Analytics and Informatics Using SAS

Applied Health Analytics and Informatics Using SAS
  • Author : Joseph M. Woodside
  • Publisher : SAS Institute
  • Release Date : 2018-11-08
  • Total pages : 378
  • ISBN : 0128156368
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Summary : Leverage health data into insight! Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics can help to eliminate medical errors, reduce readmissions, provide evidence-based care, ...

Healthcare Informatics

Healthcare Informatics
  • Author : Stephan P. Kudyba
  • Publisher : CRC Press
  • Release Date : 2018-09-03
  • Total pages : 397
  • ISBN : 0128156368
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Summary : Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow ...

Healthcare Service Management

Healthcare Service Management
  • Author : Li Tao,Jiming Liu
  • Publisher : Springer
  • Release Date : 2019-05-08
  • Total pages : 168
  • ISBN : 0128156368
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Summary : Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance ...

Health Services Research and Analytics Using Excel

Health Services Research and Analytics Using Excel
  • Author : Nalin Johri, PhD, MPH
  • Publisher : Springer Publishing Company
  • Release Date : 2020-02-01
  • Total pages : 550
  • ISBN : 0128156368
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Summary : Your all-in-one resource for quantitative, qualitative, and spatial analyses in Excel® using current real-world healthcare datasets. Health Services Research and Analytics Using Excel® is a practical resource for graduate and advanced undergraduate students in programs studying healthcare administration, public health, and social work as well as public health workers and ...

Analytics and Decision Support in Health Care Operations Management

Analytics and Decision Support in Health Care Operations Management
  • Author : Yasar A. Ozcan
  • Publisher : John Wiley & Sons
  • Release Date : 2017-04-10
  • Total pages : 600
  • ISBN : 0128156368
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Summary : Preceded by Quantitative methods in health care management / Yasar A. Ozcan. 2nd ed. c2009....

Data Analytics in Medicine Concepts Methodologies Tools and Applications

Data Analytics in Medicine  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2019-12-06
  • Total pages : 2071
  • ISBN : 0128156368
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Summary : Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and ...

Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Author : Wang, Baoying
  • Publisher : IGI Global
  • Release Date : 2014-10-31
  • Total pages : 528
  • ISBN : 0128156368
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Summary : As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics ...

Clinical Analytics and Data Management for the DNP Second Edition

Clinical Analytics and Data Management for the DNP  Second Edition
  • Author : Martha L. Sylvia, PhD, MBA, RN
  • Publisher : Springer Publishing Company
  • Release Date : 2018-03-28
  • Total pages : 396
  • ISBN : 0128156368
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Summary : Praise for the First Edition: “DNP students may struggle with data management, since their projects are not research, but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars --Doody's Medical Reviews This is the only text ...

Heterogeneous Data Management Polystores and Analytics for Healthcare

Heterogeneous Data Management  Polystores  and Analytics for Healthcare
  • Author : Vijay Gadepally,Timothy Mattson,Michael Stonebraker,Tim Kraska,Fusheng Wang,Gang Luo,Jun Kong,Alevtina Dubovitskaya
  • Publisher : Springer
  • Release Date : 2021-03-04
  • Total pages : 233
  • ISBN : 0128156368
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Summary : This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and ...

Data Science for Healthcare

Data Science for Healthcare
  • Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
  • Publisher : Springer
  • Release Date : 2019-03-22
  • Total pages : 367
  • ISBN : 0128156368
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Summary : This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern ...