Information Technology in Biomedicine
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering, General Computing
| Author: | ISBN: | 9783030237622 | |
| Publisher: | Springer International Publishing | Publication: | June 26, 2019 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783030237622 |
| Publisher: | Springer International Publishing |
| Publication: | June 26, 2019 |
| Imprint: | Springer |
| Language: | English |
This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections:
Medical Data Science
Quantitative Data Analysis in Medical Diagnosis
Data Mining Tools and Methods in Medical Applications
Image Analysis
Analytics in Action on SAS Platform
Biocybernetics in Physiotherapy
Signal Processing and Analysis
Medical Tools & Interfaces
Biomechanics and Biomaterials.
As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.
This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections:
Medical Data Science
Quantitative Data Analysis in Medical Diagnosis
Data Mining Tools and Methods in Medical Applications
Image Analysis
Analytics in Action on SAS Platform
Biocybernetics in Physiotherapy
Signal Processing and Analysis
Medical Tools & Interfaces
Biomechanics and Biomaterials.
As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.
