Skip to main content

Leveraging Biomedical And Healthcare Data

In Order to Read Online or Download Leveraging Biomedical And Healthcare Data Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

Leveraging Biomedical and Healthcare Data

Leveraging Biomedical and Healthcare Data Book
Author : Firas Kobeissy,Kevin Wang,Fadi A. Zaraket,Ali Alawieh
Publisher : Academic Press
Release : 2018-11-23
ISBN : 012809561X
Language : En, Es, Fr & De

GET BOOK

Book Description :

Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field Provides demonstrative and relevant examples that serve as a general tutorial Presents a list of algorithm names and computational tools available for basic and clinical researchers

Leveraging Data Science for Global Health

Leveraging Data Science for Global Health Book
Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer Nature
Release : 2020-07-31
ISBN : 3030479943
Language : En, Es, Fr & De

GET BOOK

Book Description :

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Communication and Computing Systems

Communication and Computing Systems Book
Author : B.M.K. Prasad,Karan Singh,Shyam S. Pandey,Richard O'Kennedy
Publisher : CRC Press
Release : 2019-10-22
ISBN : 0429814593
Language : En, Es, Fr & De

GET BOOK

Book Description :

The International Conference on Communication and Computing Systems (ICCCS 2018) provides a high-level international forum for researchers and recent advances in the field of electronic devices, computing, big data analytics, cyber security, quantum computing, biocomputing, telecommunication, etc. The aim of the conference was to bridge the gap between the technological advancements in the industry and the academic research.

Applied Computer Sciences in Engineering

Applied Computer Sciences in Engineering Book
Author : Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,Elvis Eduardo Gaona-García,Alvaro David Orjuela-Cañón
Publisher : Springer Nature
Release : 2021-09-29
ISBN : 3030867021
Language : En, Es, Fr & De

GET BOOK

Book Description :

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellín, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.

Mild Traumatic Brain Injury

Mild Traumatic Brain Injury Book
Author : Mark A. Mentzer
Publisher : CRC Press
Release : 2020-10-26
ISBN : 1000207676
Language : En, Es, Fr & De

GET BOOK

Book Description :

Mild traumatic brain injury (mTBI), directly related to chronic traumatic encephalopathy, presents a crisis in contact sports, the military, and public health. Mild Traumatic Brain Injury: A Science and Engineering Perspective reviews current understanding of mTBI, methods of diagnosis, treatment, policy concerns, and emerging technologies. It details the neurophysiology and epidemiology of brain injuries by presenting disease models and descriptions of nucleating events, characterizes sensors, imagers, and related diagnostic measures used for evaluating and identifying brain injuries, and relates emerging bioinformatics analysis with mTBI markers. The book goes on to discuss issues with sports medicine and military issues; covers therapeutic strategies, surgeries, and future developments; and finally addresses drug trials and candidates for therapy. The broad coverage and accessible discussions will appeal to professionals in diverse fields related to mTBI, students of neurology, medicine, and biology, as well as policy makers and lay persons interested in this hot topic. Features Summarizes the entire scope of the field of mTBI Details the neurophysiology, epidemiology, and presents disease models and descriptions of nucleating events Characterizes sensors, imagers, and related diagnostic measures and relates emerging bioinformatics analysis with mTBI markers Discusses issues with sports medicine and military issues Covers therapeutic strategies, surgeries, and future developments and addresses drug trials and candidates Dr Mark Mentzer earned his PhD in Electrical Engineering from the University of Delaware. He is a former research scientist at the US Army Research Laboratory where he studied mild traumatic brain injury and developed early-detection brain injury helmet sensors. He is a certified test director and contracting officer representative. He possesses two Level-III Defense Acquisition University Certifications in Science and Technology Management and in Test and Evaluation. During his career, he developed a wide range of sensors and instrumentation as well as biochemical processes to assess brain trauma. Mentzer currently teaches graduate systems engineering and computer science courses at the University of Maryland University College.

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data Book
Author : Ervin Sejdic,Tiago H. Falk
Publisher : CRC Press
Release : 2018-07-04
ISBN : 1351061216
Language : En, Es, Fr & De

GET BOOK

Book Description :

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

dHealth 2020 Biomedical Informatics for Health and Care

dHealth 2020     Biomedical Informatics for Health and Care Book
Author : G. Schreier,D. Hayn,A. Eggerth
Publisher : IOS Press
Release : 2020-06-24
ISBN : 1643680854
Language : En, Es, Fr & De

GET BOOK

Book Description :

Successful digital healthcare depends on the effective flow of a complete chain of information; from the sensor, via multiple steps of processing, to the actuator, which can be anything from a human healthcare professional to a robot. Along this pathway, methods for automating the processing of information, like signal processing, machine learning, predictive analytics and decision support, play an increasing role in providing actionable information and supporting personalized and preventive healthcare concepts in both biomedical and digital healthcare systems and applications. ICT systems in healthcare and biomedical systems and devices are very closely related, and in the future they will become increasingly intertwined. Indeed, it is already often difficult to delineate where the one ends and the other begins. This book presents the intended proceedings of the dHealth 2020 annual conference on the general topic of health Informatics and digital health, which was due to be held in Vienna, Austria, on 19 and 20 May 2020, but which was cancelled due to the COVID-19 pandemic. The decision was nevertheless taken to publish these proceedings, which include the 40 papers which would have been delivered at the conference. The special topic for the 2020 edition of the conference was Biomedical Informatics for Health and Care. The book provides an overview of current developments in health informatics and digital health, and will be of interest to researchers and healthcare practitioners alike.

Health Informatics Vision From Data via Information to Knowledge

Health Informatics Vision  From Data via Information to Knowledge Book
Author : J. Mantas,A. Hasman,P. Gallos
Publisher : IOS Press
Release : 2019-08-06
ISBN : 1614999872
Language : En, Es, Fr & De

GET BOOK

Book Description :

The latest developments in data, informatics and technology continue to enable health professionals and informaticians to improve healthcare for the benefit of patients everywhere. This book presents full papers from ICIMTH 2019, the 17th International Conference on Informatics, Management and Technology in Healthcare, held in Athens, Greece from 5 to 7 July 2019. Of the 150 submissions received, 95 were selected for presentation at the conference following review and are included here. The conference focused on increasing and improving knowledge of healthcare applications spanning the entire spectrum from clinical and health informatics to public health informatics as applied in the healthcare domain. The field of biomedical and health informatics is examined in a very broad framework, presenting the research and application outcomes of informatics from cell to population and exploring a number of technologies such as imaging, sensors, and biomedical equipment, together with management and organizational aspects including legal and social issues. Setting research priorities in health informatics is also addressed. Providing an overview of the latest developments in health informatics, the book will be of interest to all those working in the field.

Health Informatics E Book

Health Informatics   E Book Book
Author : Ramona Nelson,Nancy Staggers
Publisher : Elsevier Health Sciences
Release : 2016-12-08
ISBN : 0323402259
Language : En, Es, Fr & De

GET BOOK

Book Description :

Awarded second place in the 2017 AJN Book of the Year Awards in the Information Technology category. See how information technology intersects with health care! Health Informatics: An Interprofessional Approach, 2nd Edition prepares you for success in today’s technology-filled healthcare practice. Concise coverage includes information systems and applications such as electronic health records, clinical decision support, telehealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics including data science and analytics, mHealth, principles of project management, and contract negotiations. Written by expert informatics educators Ramona Nelson and Nancy Staggers, this edition enhances the book that won a 2013 American Journal of Nursing Book of the Year award! Experts from a wide range of health disciplines cover the latest on the interprofessional aspects of informatics — a key Quality and Safety Education for Nurses (QSEN) initiative and a growing specialty area in nursing. Case studies encourage higher-level thinking about how concepts apply to real-world nursing practice. Discussion questions challenge you to think critically and to visualize the future of health informatics. Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what you will learn. Conclusion and Future Directions section at the end of each chapter describes how informatics will continue to evolve as healthcare moves to an interprofessional foundation. NEW! Updated chapters reflect the current and evolving practice of health informatics, using real-life healthcare examples to show how informatics applies to a wide range of topics and issues. NEW mHealth chapter discusses the use of mobile technology, a new method of health delivery — especially for urban or under-served populations — and describes the changing levels of responsibility for both patients and providers. NEW Data Science and Analytics in Healthcare chapter shows how Big Data — as well as analytics using data mining and knowledge discovery techniques — applies to healthcare. NEW Project Management Principles chapter discusses proven project management tools and techniques for coordinating all types of health informatics-related projects. NEW Contract Negotiations chapter describes strategic methods and tips for negotiating a contract with a healthcare IT vendor. NEW Legal Issues chapter explains how federal regulations and accreditation processes may impact the practice of health informatics. NEW HITECH Act chapter explains the regulations relating to health informatics in the Health Information Technology for Education and Clinical Health Act as well as the Meaningful Use and Medicare Access & CHIP Reauthorization Act of 2015.

Big Data Health Law and Bioethics

Big Data  Health Law  and Bioethics Book
Author : I. Glenn Cohen,Holly Fernandez Lynch,Effy Vayena,Urs Gasser
Publisher : Cambridge University Press
Release : 2018-03-08
ISBN : 110815364X
Language : En, Es, Fr & De

GET BOOK

Book Description :

When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.

Health Data in the Information Society

Health Data in the Information Society Book
Author : György Surján,Rolf Engelbrecht,Peter McNair
Publisher : IOS Press
Release : 2002
ISBN : 9781586032791
Language : En, Es, Fr & De

GET BOOK

Book Description :

MIE 2002 is the XVIIth international conference of the European Federation of Medical Informatics. Today, mankind builds up the information society, enabled by the underlying rapid development in computer technology. The significance of the spread of the internet is comparable to the significance of Gutenberg's invention. On one hand it both helps dissemination of data and knowledge and sharing of ideas. On the other hand the achievements may divide the society, as did non-literacy deprive many people from knowledge throughout centuries. Today millions of people are isolated from an incredibly large amount of information because of "computer non-literacy," and a new elite mastering the information society has appeared. However, the ease of production and dissemination of information may foster thoughtless communication, and has lead to a flood of information and disinformation. We have to learn how to behave in this new situation, in which the dissemination of information - at an international level - is totally uncontrolled. In the area of medical or health informatics these questions are more serious. Lack of information, false or inadequate information, as well as improper interpretation of accurate information may seriously harm patients. And the process may go out of control of the physician, i.e. patients can "treat" themselves just by visiting some health sites on the net. Everybody may throw a message in a bottle in information flood, and everybody may pick up messages at any time. Can we do anything to ensure that all messages are valid? Can we guarantee that our messages reach the intended audience? Can we secure that content has not changed on its way? Do we know that people getting our messages will interpret them correctly? Are we able to understand the intention of a sender, when we get a message totally out of context? These questions build up the framework of MIE2002.

PHealth 2016

PHealth 2016 Book
Author : N. Maglaveras,E. Gizeli
Publisher : IOS Press
Release : 2016-06-16
ISBN : 1614996539
Language : En, Es, Fr & De

GET BOOK

Book Description :

Smart mobile systems, eHealth and telemedicine, as well as social media and gamification, have all become important enablers for the provision of the next generation of health services. This book presents the proceedings of the 13th International Conference on Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2016), held in Heraklion, Crete, in May 2016. pHealth 2016 brings together experts from medical, technological, political, administrative, legal and social domains with the aim of further emphasizing the integration of biology and medical data, systems and information using mobile technologies. The book includes two keynotes and two specially invited talks as well as 21 oral and 10 poster presentations selected by a rigorous review process (with a rejection rate of more than 30%) from the more than 45 submissions to the conference. The book is divided into two sections. The first covers mHealth, devices, applications and biosensors and the second deals with smart personal health systems, deep learning, interoperability and precision medicine. Subjects covered include the development of micro-, nano-, bio- and smart-systems with an emphasis on personalized health, virtual care, precision medicine, big bio data management and analytics, as well as security, privacy and safety issues. This book will be of interest to all those whose work involves the provision of healthcare, both today and into the future.

On Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics

On Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics Book
Author : Xi Hang Cao
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Representation Learning is ubiquitous in state-of-the-art machine learning workflow, including data exploration/visualization, data preprocessing, data model learning, and model interpretations. However, the majority of the newly proposed Representation Learning methods are more suitable for problems with a large amount of data. Applying these methods to problems with a limited amount of data may lead to unsatisfactory performance. Therefore, there is a need for developing Representation Learning methods which are tailored for problems with ``small data", such as, clinical and biomedical data analytics. In this dissertation, we describe our studies of tackling the challenging clinical and biomedical data analytics problem from four perspectives: data preprocessing, temporal data representation learning, output representation learning, and joint input-output representation learning. Data scaling is an important component in data preprocessing. The objective in data scaling is to scale/transform the raw features into reasonable ranges such that each feature of an instance will be equally exploited by the machine learning model. For example, in a credit flaw detection task, a machine learning model may utilize a person's credit score and annual income as features, but because the ranges of these two features are different, a machine learning model may consider one more heavily than another. In this dissertation, I thoroughly introduce the problem in data scaling and describe an approach for data scaling which can intrinsically handle the outlier problem and lead to better model prediction performance. Learning new representations for data in the unstandardized form is a common task in data analytics and data science applications. Usually, data come in a tubular form, namely, the data is represented by a table in which each row is a feature (row) vector of an instance. However, it is also common that the data are not in this form; for example, texts, images, and video/audio records. In this dissertation, I describe the challenge of analyzing imperfect multivariate time series data in healthcare and biomedical research and show that the proposed method can learn a powerful representation to encounter various imperfections and lead to an improvement of prediction performance. Learning output representations is a new aspect of Representation Learning, and its applications have shown promising results in complex tasks, including computer vision and recommendation systems. The main objective of an output representation algorithm is to explore the relationship among the target variables, such that a prediction model can efficiently exploit the similarities and potentially improve prediction performance. In this dissertation, I describe a learning framework which incorporates output representation learning to time-to-event estimation. Particularly, the approach learns the model parameters and time vectors simultaneously. Experimental results do not only show the effectiveness of this approach but also show the interpretability of this approach from the visualizations of the time vectors in 2-D space. Learning the input (feature) representation, output representation, and predictive modeling are closely related to each other. Therefore, it is a very natural extension of the state-of-the-art by considering them together in a joint framework. In this dissertation, I describe a large-margin ranking-based learning framework for time-to-event estimation with joint input embedding learning, output embedding learning, and model parameter learning. In the framework, I cast the functional learning problem to a kernel learning problem, and by adopting the theories in Multiple Kernel Learning, I propose an efficient optimization algorithm. Empirical results also show its effectiveness on several benchmark datasets.

Strategies to Leverage Research Funding

Strategies to Leverage Research Funding Book
Author : Institute of Medicine,Board on Health Sciences Policy,Medical Follow-Up Agency,Committee on Alternative Funding Strategies for DOD's Peer Reviewed Medical Research Programs
Publisher : National Academies Press
Release : 2004-11-27
ISBN : 0309092779
Language : En, Es, Fr & De

GET BOOK

Book Description :

Since 1992 the Department of Defense (DOD), through the U.S. Army Medical Research and Material Command, has received congressionally earmarked appropriations for programs of biomedical research on prostate, breast, and ovarian cancer; neurofibromatosis; tuberous sclerosis; and other health problems. Appropriations for these Congressionally Directed Medical Research Programs are used to support peer reviewed extramural research project, training, and infrastructure grants. Congress has become concerned about funding increases for these programs given current demands on the military budget. At the request of Congress, the Institute of Medicine (IOM) examined possibilities of augmenting program funding from alternative sources. The resulting IOM book, Strategies to Leverage Research Funding: Guiding DOD's Peer Reviewed Medical Research Programs, focuses on nonfederal and private sector contributions that could extend the appropriated funds without biasing the peer review project selection process.

Translational Informatics

Translational Informatics Book
Author : Philip R.O. Payne,Peter J. Embi
Publisher : Springer
Release : 2014-08-23
ISBN : 1447146468
Language : En, Es, Fr & De

GET BOOK

Book Description :

Integrative and translational methodologies and frameworks have transformed modern biomedical research and the delivery of clinical care. This shift has been manifested in a number of ways, including the rapid growth and increasing availability of high-throughput bio-molecular instrumentation and analysis platforms, innovative clinical research programs intended to accelerate knowledge translation, and initial efforts to deliver personalized healthcare informed by the genomic profiles of patients. A common theme of reports and publications concerned with such transformative changes in the biomedical and healthcare domains is concerned with the challenges and opportunities related to the collection, management, integration, analysis, and dissemination of large-scale, heterogeneous biomedical data sets. In particular, the absence of well-established and adopted theoretical and practical frameworks intended to address such needs is a major impediment to the realization of translational and knowledge-driven healthcare, in which the best possible scientific evidence is used to inform the care of every patient. In this vacuum, the development of integrative clinical or translational research paradigms is significantly limited by the propagation of both data and expertise silos. This book details for the first time the current state of this extremely potent area of healthcare innovation and policy and defines the interaction between clinical/translational science and biomedical informatics.​

MEDINFO 2019 Health and Wellbeing e Networks for All

MEDINFO 2019  Health and Wellbeing e Networks for All Book
Author : L. Ohno-Machado,B. Séroussi
Publisher : IOS Press
Release : 2019-11-12
ISBN : 164368003X
Language : En, Es, Fr & De

GET BOOK

Book Description :

Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics.

Biomedical Engineering Systems and Technologies

Biomedical Engineering Systems and Technologies Book
Author : Xuesong Ye,Filipe Soares,Elisabetta De Maria,Pedro Gómez Vilda,Federico Cabitza,Ana Fred,Hugo Gamboa
Publisher : Springer Nature
Release : 2020
ISBN : 3030723798
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book constitutes extended and revised versions of the selected papers from the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, held in Valletta, Malta, in February 2020. The 29 revised and extended full papers presented were carefully reviewed and selected from a total of 363 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatic.

Classification and Clustering in Biomedical Signal Processing

Classification and Clustering in Biomedical Signal Processing Book
Author : Dey, Nilanjan
Publisher : IGI Global
Release : 2016-04-07
ISBN : 152250141X
Language : En, Es, Fr & De

GET BOOK

Book Description :

Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2016-04-20
ISBN : 1466698411
Language : En, Es, Fr & De

GET BOOK

Book Description :

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Managing Big Data Integration in the Public Sector

Managing Big Data Integration in the Public Sector Book
Author : Aggarwal, Anil
Publisher : IGI Global
Release : 2015-11-12
ISBN : 1466696508
Language : En, Es, Fr & De

GET BOOK

Book Description :

The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully utilize them. Managing Big Data Integration in the Public Sector is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.