Data Analytics In Medicine Concepts Methodologies Tools And Applications


Data Analytics In Medicine Concepts Methodologies Tools And Applications
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Data Analytics In Medicine Concepts Methodologies Tools And Applications


Data Analytics In Medicine Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-12-06

Data Analytics In Medicine Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Medical categories.


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.



Data Analytics In Medicine


Data Analytics In Medicine
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Author : Information Reso Management Association
language : en
Publisher:
Release Date : 2019-11-18

Data Analytics In Medicine written by Information Reso Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Medical categories.




Data Analytics In Medicine


Data Analytics In Medicine
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Author : Information Reso Management Association
language : en
Publisher:
Release Date : 2019-11-18

Data Analytics In Medicine written by Information Reso Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Medical categories.




Data Analytics In Medicine


Data Analytics In Medicine
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Author : Information Reso Management Association
language : en
Publisher:
Release Date : 2019-11-18

Data Analytics In Medicine written by Information Reso Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Medical categories.




Data Analytics In Medicine


Data Analytics In Medicine
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Author : Information Reso Management Association
language : en
Publisher:
Release Date : 2019-11-18

Data Analytics In Medicine written by Information Reso Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Medical categories.




Big Data Analytics And Machine Intelligence In Biomedical And Health Informatics


Big Data Analytics And Machine Intelligence In Biomedical And Health Informatics
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Author : Sunil Kumar Dhal
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-20

Big Data Analytics And Machine Intelligence In Biomedical And Health Informatics written by Sunil Kumar Dhal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-20 with Computers categories.


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.



Healthcare Data Analytics


Healthcare Data Analytics
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Author : Chandan K. Reddy
language : en
Publisher: CRC Press
Release Date : 2015-06-23

Healthcare Data Analytics written by Chandan K. Reddy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-23 with Business & Economics categories.


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 Healthcare


Big Data Analytics In Healthcare
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2019-10-01

Big Data Analytics In Healthcare written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Technology & Engineering categories.


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.



Big Data Analytics For Healthcare


Big Data Analytics For Healthcare
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Author : Pantea Keikhosrokiani
language : en
Publisher: Academic Press
Release Date : 2022-05-19

Big Data Analytics For Healthcare written by Pantea Keikhosrokiani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Medical categories.


Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems



Exploratory Data Analytics For Healthcare


Exploratory Data Analytics For Healthcare
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Author : R. Lakshmana Kumar
language : en
Publisher: CRC Press
Release Date : 2021-12-24

Exploratory Data Analytics For Healthcare written by R. Lakshmana Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-24 with Computers categories.


Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.