Data Analytics In Medicine Concepts Methodologies Tools And Applications

Author: Management Association, Information Resources
Editor: IGI Global
ISBN: 1799812057
File Size: 16,80 MB
Format: PDF, Docs
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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: Concepts, Methodologies, Tools, and Applications
Language: en
Pages: 2071
Authors: Management Association, Information Resources
Categories: Medical
Type: BOOK - Published: 2019-12-06 - Publisher: IGI Global

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
Applying Big Data Analytics in Bioinformatics and Medicine
Language: en
Pages: 465
Authors: Lytras, Miltiadis D., Papadopoulou, Paraskevi
Categories: Computers
Type: BOOK - Published: 2017-06-16 - Publisher: IGI Global

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
Exploratory Data Analytics for Healthcare
Language: en
Pages: 304
Authors: Taylor & Francis Group
Categories: Computers
Type: BOOK - Published: 2021-12-24 - Publisher: CRC Press

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
Healthcare Data Analytics
Language: en
Pages: 760
Authors: Chandan K. Reddy, Charu C. Aggarwal
Categories: Business & Economics
Type: BOOK - Published: 2015-06-23 - Publisher: CRC Press

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 to solve healthcare problems. The
Practical Predictive Analytics and Decisioning Systems for Medicine
Language: en
Pages: 1110
Authors: Linda Miner, Pat Bolding, Joseph Hilbe, Mitchell Goldstein, Thomas Hill, Robert Nisbet, Nephi Walton, Gary Miner
Categories: Computers
Type: BOOK - Published: 2014-09-27 - Publisher: Academic Press

With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning