Bioinformatics Tools And Big Data Analytics For Patient Care

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Bioinformatics Tools and Big Data Analytics for Patient Care

Author : Rishabha Malviya,Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 357 pages
File Size : 49,6 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000638905

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Bioinformatics Tools and Big Data Analytics for Patient Care by Rishabha Malviya,Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Big Data Analytics in Bioinformatics and Healthcare

Author : Wang, Baoying
Publisher : IGI Global
Page : 552 pages
File Size : 49,9 Mb
Release : 2014-10-31
Category : Computers
ISBN : 9781466666122

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Big Data Analytics in Bioinformatics and Healthcare by Wang, Baoying Pdf

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.

Big Data Analytics

Author : Ümit Demirbaga
Publisher : Springer Nature
Page : 299 pages
File Size : 45,7 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031556395

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Big Data Analytics by Ümit Demirbaga Pdf

Bioinformatics and Medical Applications

Author : A. Suresh,S. Vimal,Y. Harold Robinson,Dhinesh Kumar Ramaswami,R. Udendhran
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 41,7 Mb
Release : 2022-03-24
Category : Computers
ISBN : 9781119792659

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Bioinformatics and Medical Applications by A. Suresh,S. Vimal,Y. Harold Robinson,Dhinesh Kumar Ramaswami,R. Udendhran Pdf

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge. The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information. Audience The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

Big Data, Big Challenges: A Healthcare Perspective

Author : Mowafa Househ,Andre W. Kushniruk,Elizabeth M. Borycki
Publisher : Springer
Page : 144 pages
File Size : 53,8 Mb
Release : 2019-02-26
Category : Medical
ISBN : 9783030061098

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Big Data, Big Challenges: A Healthcare Perspective by Mowafa Househ,Andre W. Kushniruk,Elizabeth M. Borycki Pdf

This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.

Control Engineering in Mechatronics

Author : Aydin Azizi
Publisher : Springer Nature
Page : 206 pages
File Size : 40,9 Mb
Release : 2023-05-03
Category : Technology & Engineering
ISBN : 9789811677755

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Control Engineering in Mechatronics by Aydin Azizi Pdf

This book provides an in-depth understanding of the fundamental scientific principles and technologies used in the design of modern computer-controlled machines and processes. It emphasizes the synergies in the design process and explores the challenges and opportunities for integrating diverse engineering disciplines. The book consists of six chapters that cover a wide range of topics related to mechatronics and control system engineering. Overall, the book is an excellent resource for professionals, engineers, researchers, and students who want to gain a comprehensive understanding of the trans-disciplinary field of mechatronics and control systems engineering.

Digital Transformation in Healthcare 5.0

Author : Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry
Publisher : Walter de Gruyter GmbH & Co KG
Page : 400 pages
File Size : 50,6 Mb
Release : 2024-05-20
Category : Computers
ISBN : 9783111398549

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Digital Transformation in Healthcare 5.0 by Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry Pdf

The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.

Applying Big Data Analytics in Bioinformatics and Medicine

Author : Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Publisher : IGI Global
Page : 465 pages
File Size : 40,7 Mb
Release : 2017-06-16
Category : Computers
ISBN : 9781522526087

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Applying Big Data Analytics in Bioinformatics and Medicine by Lytras, Miltiadis D.,Papadopoulou, Paraskevi Pdf

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.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Author : Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
Publisher : CRC Press
Page : 362 pages
File Size : 48,6 Mb
Release : 2017-06-26
Category : Computers
ISBN : 9781351720250

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Computational Intelligence Applications in Business Intelligence and Big Data Analytics by Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu Pdf

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

Data Science and Medical Informatics in Healthcare Technologies

Author : Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
Publisher : Springer Nature
Page : 91 pages
File Size : 51,6 Mb
Release : 2021-06-19
Category : Technology & Engineering
ISBN : 9789811630293

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Data Science and Medical Informatics in Healthcare Technologies by Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Pdf

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Applications of Big Data in Healthcare

Author : Ashish Khanna,Deepak Gupta,Nilanjan Dey
Publisher : Academic Press
Page : 311 pages
File Size : 51,5 Mb
Release : 2021-03-10
Category : Science
ISBN : 9780128204511

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Applications of Big Data in Healthcare by Ashish Khanna,Deepak Gupta,Nilanjan Dey Pdf

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

Applications of Parallel Data Processing for Biomedical Imaging

Author : Khan, Rijwan,Kumar, Indrajeet,Praveen, Pushkar
Publisher : IGI Global
Page : 367 pages
File Size : 46,9 Mb
Release : 2024-04-26
Category : Medical
ISBN : 9798369324271

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Applications of Parallel Data Processing for Biomedical Imaging by Khan, Rijwan,Kumar, Indrajeet,Praveen, Pushkar Pdf

Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research.

Healthcare Big Data Analytics

Author : Akash Kumar Bhoi,Ranjit Panigrahi,Victor, Hugo C. de Albuquerque,Rutvij H. Jhaveri
Publisher : Walter de Gruyter GmbH & Co KG
Page : 354 pages
File Size : 45,9 Mb
Release : 2024-03-18
Category : Computers
ISBN : 9783110750942

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Healthcare Big Data Analytics by Akash Kumar Bhoi,Ranjit Panigrahi,Victor, Hugo C. de Albuquerque,Rutvij H. Jhaveri Pdf

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Biotechnology: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2183 pages
File Size : 42,6 Mb
Release : 2019-06-07
Category : Science
ISBN : 9781522589044

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Biotechnology: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.