Bioinformatics Tools and Big Data Analytics for Patient Care

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Publisher : CRC Press
ISBN 13 : 1000638901
Total Pages : 357 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Bioinformatics Tools and Big Data Analytics for Patient Care by : Rishabha Malviya

Download or read book Bioinformatics Tools and Big Data Analytics for Patient Care written by Rishabha Malviya and published by CRC Press. This book was released on 2022-08-31 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : IGI Global
ISBN 13 : 1466666129
Total Pages : 528 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data Analytics in Bioinformatics and Healthcare by : Wang, Baoying

Download or read book Big Data Analytics in Bioinformatics and Healthcare written by Wang, Baoying and published by IGI Global. This book was released on 2014-10-31 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bioinformatics and Medical Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1119792657
Total Pages : 356 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Bioinformatics and Medical Applications by : A. Suresh

Download or read book Bioinformatics and Medical Applications written by A. Suresh and published by John Wiley & Sons. This book was released on 2022-03-24 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 3030061094
Total Pages : 144 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Big Data, Big Challenges: A Healthcare Perspective by : Mowafa Househ

Download or read book Big Data, Big Challenges: A Healthcare Perspective written by Mowafa Househ and published by Springer. This book was released on 2019-02-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics

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Publisher : Springer Nature
ISBN 13 : 3031556399
Total Pages : 299 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Big Data Analytics by : Ümit Demirbaga

Download or read book Big Data Analytics written by Ümit Demirbaga and published by Springer Nature. This book was released on with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science and Medical Informatics in Healthcare Technologies

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Publisher : Springer Nature
ISBN 13 : 9811630291
Total Pages : 91 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Science and Medical Informatics in Healthcare Technologies by : Nguyen Thi Dieu Linh

Download or read book Data Science and Medical Informatics in Healthcare Technologies written by Nguyen Thi Dieu Linh and published by Springer Nature. This book was released on 2021-06-19 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1799812057
Total Pages : 2071 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-12-06 with total page 2071 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS.

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Publisher :
ISBN 13 : 9789798886973
Total Pages : 0 pages
Book Rating : 4.8/5 (869 download)

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Book Synopsis ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS. by : SUJATA. DASH

Download or read book ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS. written by SUJATA. DASH and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Control Engineering in Mechatronics

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Publisher : Springer Nature
ISBN 13 : 9811677751
Total Pages : 206 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Control Engineering in Mechatronics by : Aydin Azizi

Download or read book Control Engineering in Mechatronics written by Aydin Azizi and published by Springer Nature. This book was released on 2023-05-03 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111398544
Total Pages : 400 pages
Book Rating : 4.1/5 (113 download)

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Book Synopsis Digital Transformation in Healthcare 5.0 by : Rishabha Malviya

Download or read book Digital Transformation in Healthcare 5.0 written by Rishabha Malviya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-05-20 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

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Publisher : John Wiley & Sons
ISBN 13 : 1119792355
Total Pages : 356 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics by : Sunil Kumar Dhal

Download or read book Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics written by Sunil Kumar Dhal and published by John Wiley & Sons. This book was released on 2022-05-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Applying Big Data Analytics in Bioinformatics and Medicine

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Publisher : IGI Global
ISBN 13 : 1522526080
Total Pages : 465 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Applying Big Data Analytics in Bioinformatics and Medicine by : Lytras, Miltiadis D.

Download or read book Applying Big Data Analytics in Bioinformatics and Medicine written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2017-06-16 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : CRC Press
ISBN 13 : 1351720252
Total Pages : 362 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Computational Intelligence Applications in Business Intelligence and Big Data Analytics by : Vijayan Sugumaran

Download or read book Computational Intelligence Applications in Business Intelligence and Big Data Analytics written by Vijayan Sugumaran and published by CRC Press. This book was released on 2017-06-26 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics in Healthcare

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Publisher : Springer Nature
ISBN 13 : 3030316726
Total Pages : 187 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Analytics in Healthcare by : Anand J. Kulkarni

Download or read book Big Data Analytics in Healthcare written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-10-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Healthcare Data Analytics

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Publisher : CRC Press
ISBN 13 : 148223212X
Total Pages : 756 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Healthcare Data Analytics by : Chandan K. Reddy

Download or read book Healthcare Data Analytics written by Chandan K. Reddy and published by CRC Press. This book was released on 2015-06-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available

Big Data Analytics in HIV/AIDS Research

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Publisher : IGI Global
ISBN 13 : 1522532048
Total Pages : 294 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Big Data Analytics in HIV/AIDS Research by : Al Mazari, Ali

Download or read book Big Data Analytics in HIV/AIDS Research written by Al Mazari, Ali and published by IGI Global. This book was released on 2018-04-27 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Health Informatics Data Analysis

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Publisher : Springer
ISBN 13 : 3319449818
Total Pages : 210 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Health Informatics Data Analysis by : Dong Xu

Download or read book Health Informatics Data Analysis written by Dong Xu and published by Springer. This book was released on 2017-09-08 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.