Data Analytics In Medicine Concepts Methodologies Tools And Applications
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| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2071 |
| Release | : 2019-12-06 |
| Genre | : Medical |
| ISBN | : 1799812057 |
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.
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 568 |
| Release | : 2019-11-18 |
| Genre | : Medical |
| ISBN | : 9781668432235 |
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 548 |
| Release | : 2019-11-18 |
| Genre | : Medical |
| ISBN | : 9781668432228 |
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 580 |
| Release | : 2019-11-18 |
| Genre | : Medical |
| ISBN | : 9781668432259 |
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 560 |
| Release | : 2019-11-18 |
| Genre | : Medical |
| ISBN | : 9781668432242 |
| Author | : Chandan K. Reddy |
| Publisher | : CRC Press |
| Total Pages | : 756 |
| Release | : 2015-06-23 |
| Genre | : Business & Economics |
| ISBN | : 148223212X |
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
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1961 |
| Release | : 2020-03-06 |
| Genre | : Science |
| ISBN | : 1799824616 |
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2523 |
| Release | : 2016-04-20 |
| Genre | : Computers |
| ISBN | : 1466698411 |
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
| Author | : Sergio Consoli |
| Publisher | : Springer |
| Total Pages | : 367 |
| Release | : 2019-02-23 |
| Genre | : Computers |
| ISBN | : 3030052494 |
This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.
| Author | : Anand J. Kulkarni |
| Publisher | : Springer Nature |
| Total Pages | : 187 |
| Release | : 2019-10-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030316726 |
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.
