[PDF] Big Data Analytics In Bioinformatics And Healthcare

Big Data Analytics in Bioinformatics and Healthcare PDF
Author: Wang, Baoying
Publisher: IGI Global
ISBN: 1466666129
Size: 37.70 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 528
View: 213

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Big Data Analytics In Bioinformatics And Healthcare

by Wang, Baoying, release date 2014-10-31, Big Data Analytics In Bioinformatics And Healthcare Books available in PDF, EPUB, Mobi Format. Download Big Data Analytics In Bioinformatics And Healthcare books, 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.




[PDF] Big Data Analytics In Healthcare

Big Data Analytics in Healthcare PDF
Author: Anand J. Kulkarni
Publisher: Springer Nature
ISBN: 3030316726
Size: 13.85 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 187
View: 1601

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Big Data Analytics In Healthcare

by Anand J. Kulkarni, release date 2019-10-01, Big Data Analytics In Healthcare Books available in PDF, EPUB, Mobi Format. Download Big Data Analytics In Healthcare books, 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.




[PDF] Big Data And Health Analytics

Big Data and Health Analytics PDF
Author: Katherine Marconi
Publisher: CRC Press
ISBN: 1482229250
Size: 31.15 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 382
View: 4284

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Big Data And Health Analytics

by Katherine Marconi, release date 2014-12-20, Big Data And Health Analytics Books available in PDF, EPUB, Mobi Format. Download Big Data And Health Analytics books, 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




[PDF] Big Data Analytics In Motor And Health Insurance

Big Data Analytics in Motor and Health Insurance PDF
Author:
Publisher:
ISBN: 9789294731425
Size: 12.31 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages :
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Big Data Analytics In Motor And Health Insurance

by , release date 2019, Big Data Analytics In Motor And Health Insurance Books available in PDF, EPUB, Mobi Format. Download Big Data Analytics In Motor And Health Insurance books, 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.




[PDF] Healthcare Data Analytics And Management

Healthcare Data Analytics and Management PDF
Author: Nilanjan Dey
Publisher: Academic Press
ISBN: 0128156368
Size: 71.26 MB
Format: PDF
Category : Science
Languages : en
Pages : 340
View: 1802

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Healthcare Data Analytics And Management

by Nilanjan Dey, release date 2018-11-15, Healthcare Data Analytics And Management Books available in PDF, EPUB, Mobi Format. Download Healthcare Data Analytics And Management books, 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




[PDF] Data Analytics In Biomedical Engineering And Healthcare

Data Analytics in Biomedical Engineering and Healthcare PDF
Author: Kun Chang Lee
Publisher: Academic Press
ISBN: 0128193158
Size: 75.24 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 292
View: 5866

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Data Analytics In Biomedical Engineering And Healthcare

by Kun Chang Lee, release date 2020-10-23, Data Analytics In Biomedical Engineering And Healthcare Books available in PDF, EPUB, Mobi Format. Download Data Analytics In Biomedical Engineering And Healthcare books, 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




[PDF] Big Data In Healthcare

Big Data in Healthcare PDF
Author: Farrokh Alemi
Publisher:
ISBN: 9781640550636
Size: 72.92 MB
Format: PDF, ePub
Category : Data mining
Languages : en
Pages : 553
View: 6841

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Big Data In Healthcare

by Farrokh Alemi, release date 2019, Big Data In Healthcare Books available in PDF, EPUB, Mobi Format. Download Big Data In Healthcare books, Big Data in Healthcare: Statistical Analysis of the Electronic Health Record provides the statistical tools that healthcare leaders need to organize and interpret their data. Designed for accessibility to those with a limited mathematics background, the book demonstrates how to leverage EHR data for applications as diverse as healthcare marketing, pay for performance, cost accounting, and strategic management. Topics include:* Using real-world data to compare hospitals' performance. * Measuring the prognosis of patients through massive data* Distinguishing between fake claims and true improvements* Comparing the effectiveness of different interventions using causal analysis* Benchmarking different clinicians on the same set of patients* Remove confounding in observational dataThis book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis. It can also be used to learn SQL language. Its extensive online instructor resources include course syllabi, PowerPoint and video lectures, Excel exercises, individual and team assignments, answers to assignments, and student-organized tutorials. Big Data in Healthcare applies the building blocks of statistical thinking to the basic challenges that healthcare leaders face every day. Prepare for those challenges with the clear understanding of your data that statistical analysis can bring--and make the best possible decisions for maximum performance in the competitive field of healthcare.




[PDF] Applications Of Big Data In Healthcare

Applications of Big Data in Healthcare PDF
Author: Ashish Khanna
Publisher: Academic Press
ISBN: 0128204516
Size: 61.53 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 332
View: 1962

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Applications Of Big Data In Healthcare

by Ashish Khanna, release date 2021-02-01, Applications Of Big Data In Healthcare Books available in PDF, EPUB, Mobi Format. Download Applications Of Big Data In Healthcare books, 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




[PDF] Personalized Psychiatry

Personalized Psychiatry PDF
Author: Ives Cavalcante Passos
Publisher: Springer
ISBN: 3030035530
Size: 46.32 MB
Format: PDF, ePub, Mobi
Category : Medical
Languages : en
Pages : 180
View: 3542

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Personalized Psychiatry

by Ives Cavalcante Passos, release date 2019-02-12, Personalized Psychiatry Books available in PDF, EPUB, Mobi Format. Download Personalized Psychiatry books, 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.




[PDF] Mobile Big Data Analytics In Healthcare

Mobile Big Data Analytics in Healthcare PDF
Author: Alramzana Nujum Navaz
Publisher:
ISBN:
Size: 16.95 MB
Format: PDF, Mobi
Category : Bioinformatics
Languages : en
Pages : 158
View: 890

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Mobile Big Data Analytics In Healthcare

by Alramzana Nujum Navaz, release date 2017, Mobile Big Data Analytics In Healthcare Books available in PDF, EPUB, Mobi Format. Download Mobile Big Data Analytics In Healthcare books, 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.