The Computer Communications and Networks series is a range of textbooks, monographs and handbooks. It sets out to provide students, researchers, and nonspecialists alike with a sure grounding in current knowledge, together with comprehensible access to the latest developments in computer communications and networking.Emphasis is placed on clear and explanatory styles that support a tutorial approach, so that even the most complex of topics is presented in a lucid and intelligible manner. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.Printed on acid-free paper ForewordIn the recent past, the data growth has been unbelievably phenomenal due to a plethora of converging technologies (digitization, connectivity, integration, perception, miniaturization, consumerization, commoditization, orchestration of knowledge discovery and dissemination, etc.). In short, every common and casual thing in our personal as well as professional environments gets connected with one another and service-enabled to innately enable them to participate seamlessly and sagaciously in the mainstream computing. The device landscape is also going through a variety of innovations and improvisations in the recent past. Precisely speaking, the deeper and extreme connectivity among all kinds of digitized artifacts and devices is primarily responsible for the massive amounts of data.This brewing trend and transformation brings forth a variety of challenges as well as opportunities not only for IT professionals but also for data scientists. The discipline of data analytics is bound to grow in multiple dimensions and directions. Newer types of data analytics (generic as well as specifi c) are bound to emerge and evolve fast. The compute, storage, and network challenges are also destined to become severe. With the ever-increasing data size, structure, scope, speed, and value, the biggest challenge for any enterprise and its IT team is how to fl awlessly capture and process data and extract actionable insight...
The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics. Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. Potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.
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