Big Data And Health Analytics

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Big Data And Health Analytics

Author : Katherine Marconi
ISBN : 9781482229257
Genre : Business & Economics
File Size : 26.45 MB
Format : PDF, ePub
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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
Category: Business & Economics

Big Data Analytics In Bioinformatics And Healthcare

Author : Wang, Baoying
ISBN : 9781466666122
Genre : Computers
File Size : 32.44 MB
Format : PDF, ePub
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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 in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
Category: Computers

Healthcare Data Analytics And Management

Author : Nilanjan Dey
ISBN : 9780128156360
Genre : Science
File Size : 81.1 MB
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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
Category: Science

Applications Of Big Data In Healthcare

Author : Ashish Khanna
ISBN : 9780128204511
Genre : Science
File Size : 53.92 MB
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Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery Supplies readers with a foundation for further specialized study in clinical analysis and data management Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book
Category: Science

Big Data Analytics In Healthcare

Author : Anand J. Kulkarni
ISBN : 9783030316723
Genre : Technology & Engineering
File Size : 73.36 MB
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This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
Category: Technology & Engineering

Big Data Analytics In Motor And Health Insurance

Author :
ISBN : 9294731421
Genre :
File Size : 59.11 MB
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Data processing has historically been at the very core of the business of insurance undertakings, which is rooted strongly in data-led statistical analysis. Data has always been collected and processed to inform underwriting decisions, price policies, settle claims and prevent fraud. There has long been a pursuit of more granular datasets and predictive models, such that the relevance of Big Data Analytics (BDA) for the sector is no surprise. In view of this the European Insurance and Occupational Pensions Authority (EIOPA) decided to launch a thematic review on the use of BDA specifically by insurance firms. The aim is to gather further empirical evidence on the benefits and risks arising from BDA. To keep the exercise proportionate, the focus was limited to motor and health insurance lines of business. The thematic review was officially launched during the summer of 2018.
Category:

Data Analytics In Biomedical Engineering And Healthcare

Author : Kun Chang Lee
ISBN : 9780128193150
Genre : Science
File Size : 35.9 MB
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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 science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks
Category: Science

Clinical Intelligence The Big Data Analytics Revolution In Healthcare

Author : Peter K. Ghavami, Ph.d.
ISBN : 1500428590
Genre : Medical
File Size : 82.89 MB
Format : PDF
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This book offers concepts, methods and a framework to analyze healthcare data in new ways to improve patient health outcomes, improve population health and reduce costs. The framework takes the reader step-by-step through data warehouse and data management architectures, analytics algorithms and modeling techniques for applications in predictive medicine, optimization, machine learning, natural language processing, classification and data clustering. This book introduces the reader to data science for healthcare. It provides a clinical perspective to data including sources of open healthcare data, clinical prediction rules and much more.
Category: Medical

Big Data Analytics For Intelligent Healthcare Management

Author : Nilanjan Dey
ISBN : 012818146X
Genre : Science
File Size : 21.72 MB
Format : PDF, Kindle
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The biggest technological challenge in Big Data is to provide a mechanism for storage, manipulation, and retrieval of information on large amounts of data. In this context, the healthcare industry is also being challenged with the difficulties of capturing data, storing data, analysis of data and data visualization. Due to the rapid growth of large volume of information generated on a daily basis, the use of existing healthcare infrastructure has become impracticable to handle this issue. So, it is essential to develop better intelligent techniques, skills and tools to deal with the patient data and its inherent insights automatically. Intelligent healthcare management technologies can play an effective role to tackle this challenge and change the future for improving our lives. Therefore, there is increasing interest in exploring and unlocking the value of the massively available data within the healthcare domain. Healthcare organizations also need to continuously discover useful and actionable knowledge and gain insight from raw data for various purposes such as saving lives, reducing medical errors, increasing efficiency, reducing costs and improving patient outcomes dynamically. Data analytics in intelligent healthcare management brings great challenge and also playing an important role in intelligent healthcare management system. Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, 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 on the use of big data analytics with statistical and machine learning techniques to analyze huge amounts of real-time healthcare data. High dimensional data with multi-objective problems in healthcare is the primary open issue in big data, and this issue is covered extensively by the editors of this book. Heterogeneous healthcare data in various forms such as text, images, and video, and other detailed clinical data are required to be effectively stored, processed, and analyzed to avoid the increasing cost of health care and medical errors. Big Data Analytics for Intelligent Healthcare Management provides readers with insights into the design of intelligent healthcare systems to manage the rapid growth of high-dimensional real-time clinical data in an efficient way. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, big data for business modeling, big data privacy in healthcare, as well as decision and risk analysis Discusses big data applications for intelligent healthcare management such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, business Intelligence for medical and healthcare data, disease diagnostic predictive models, data models and architectures for healthcare, healthcare data integration Covers development of big data tools such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, data analytics with machine learning tools, data analytics with optimization techniques, data analytics in enterprise applications, social network analysis in healthcare, big data analytics for smart cities, and data analytics for clinical applications
Category: Science

It S All Analytics

Author : Scott Burk
ISBN : 9781000067224
Genre : Medical
File Size : 82.84 MB
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It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.
Category: Medical

Data Analytics In Healthcare Research

Author : David T. Marc
ISBN : 1584264640
Genre : Medical care
File Size : 35.77 MB
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Proficiency in data analytics is increasingly important for all health information managers and informaticians. Data Analytics in Healthcare Research: Tools and Strategies provides authentic case studies regarding how to conduct health data analytics and secondary research studies. The cases provide experience with databases and statistical software for data extraction, normalization, transformation, visualization, and statistical analyses. By combining open-source data and open-source analytic tools, this textbook, along with online datasets, provides faculty and students a unique opportunity to experience big data from a truly hands-on perspective. Key Features Provides research and analytic case studies, including step-by- step instructions for analyzing healthcare data and using statistical techniques Offers remote access to SQL healthcare-related database for big data analysis Includes access to database queries and statistical platform scripts for use in the classroom Uses a database consisting of open-source data from a variety of federal agencies including the Health Resources and Services Administration (HRSA), Office of the National Coordinator (ONC), Centers for Medicare and Medicaid Services (CMS), and the US Census Bureau Utilizes MySQL Workbench, Microsoft Excel, R, and RStudio for statistical analysis and data visualization
Category: Medical care

Personalized Psychiatry

Author : Ives Cavalcante Passos
ISBN : 9783030035532
Genre : Medical
File Size : 25.23 MB
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This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide 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. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.
Category: Medical

Healthcare Analytics

Author : Ross M. Mullner
ISBN : 9781351648851
Genre : Medical
File Size : 57.83 MB
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This is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced across public health and administration services. The Affordable Care Act (ACT) and free market reforms in healthcare are generating a rapid change of pace. The "electronification" of medical records from paper to digital, which is required to meet the meaningful use standards set forth by the Act, is advancing what and how information can be analyzed. Coupled with the advent of more computing power and big data analytics and techniques, practitioners now more than ever need to stay on top of these trends. This book presents a comprehensive look at healthcare analytics from population data to geospatial analysis using current case studies and data analysis examples in health. This resource will appeal to undergraduate and graduate students in health administration and public health. It will benefit healthcare professionals and administrators in nursing and public health, as well as medical students who are interested in the future of data within healthcare.
Category: Medical

Big Data Analytics And Intelligence

Author : Poonam Tanwar
ISBN : 9781839091018
Genre : Business & Economics
File Size : 76.44 MB
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Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Category: Business & Economics

Big Data Analytics

Author : Anirban Mondal
ISBN : 9783030047801
Genre : Computers
File Size : 77.39 MB
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This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.
Category: Computers

Big Data And Business Analytics

Author : Jay Liebowitz
ISBN : 9781466565791
Genre : Business & Economics
File Size : 83.49 MB
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"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak
Category: Business & Economics

Applying Big Data Analytics In Bioinformatics And Medicine

Author : Lytras, Miltiadis D.
ISBN : 9781522526087
Genre : Computers
File Size : 79.56 MB
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Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.
Category: Computers

Advanced Data Analytics In Health

Author : Philippe J. Giabbanelli
ISBN : 9783319779119
Genre : Computers
File Size : 53.77 MB
Format : PDF
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This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Category: Computers

Mobile Big Data Analytics In Healthcare

Author : Alramzana Nujum Navaz
ISBN : OCLC:1103754986
Genre : Bioinformatics
File Size : 64.36 MB
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Mobile and ubiquitous devices are everywhere around us generating considerable amount of data. The concept of mobile computing and analytics is expanding due to the fact that we are using mobile devices day in and out without even realizing it. These mobile devices use Wi-Fi, Bluetooth or mobile data to be intermittently connected to the world, generating, sending and receiving data on the move. Latest mobile applications incorporating graphics, video and audio are main causes of loading the mobile devices by consuming battery, memory and processing power. Mobile Big data analytics includes for instance, big health data, big location data, big social media data, and big heterogeneous data. Healthcare is undoubtedly one of the most data-intensive industries nowadays and the challenge is not only in acquiring, storing, processing and accessing data, but also in engendering useful insights out of it. These insights generated from health data may reduce health monitoring cost, enrich disease diagnosis, therapy, and care and even lead to human lives saving. The challenge in mobile data and Big data analytics is how to meet the growing performance demands of these activities while minimizing mobile resource consumption. This thesis proposes a scalable architecture for mobile big data analytics implementing three new algorithms (i.e. Mobile resources optimization, Mobile analytics customization and Mobile offloading), for the effective usage of resources in performing mobile data analytics. Mobile resources optimization algorithm monitors the resources and switches off unused network connections and application services whenever resources are limited. However, analytics customization algorithm attempts to save energy by customizing the analytics process while implementing some data-aware techniques. Finally, mobile offloading algorithm decides on the fly whether to process data locally or delegate it to a Cloud back-end server. The ultimate goal of this research is to provide healthcare decision makers with the advancements in mobile Big data analytics and support them in handling large and heterogeneous health datasets effectively on the move.
Category: Bioinformatics

Big Data Analytics In Hiv Aids Research

Author : Al Mazari, Ali
ISBN : 9781522532040
Genre : Medical
File Size : 61.52 MB
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With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.
Category: Medical