Information Technology in Biomedicine

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.

Publication Year: 2019
Imprint: Springer International Publishing
Format: P
Weight (Gram): 1009