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Information Technology in Biomedicine : 9th International Conference, ITIB 2022 Kamień Śląski, Poland, June 20–22, 2022 Proceedings / edited by Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek.
Format
Book
Language
English
Εdition
1st ed. 2022.
Published/Created
Cham : Springer International Publishing : Imprint: Springer, 2022.
Description
1 online resource (552 pages)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2022 English International
Details
Subject(s)
Computational intelligence
[Browse]
Biomedical engineering
[Browse]
Medical informatics
[Browse]
Editor
Piętka, Ewa
[Browse]
Series
Advances in Intelligent Systems and Computing, 1429
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5365 ; 1429
[More in this series]
Summary note
This book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.
Notes
Description based upon print version of record.
Bibliographic references
Includes bibliographical references and index.
Contents
Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study
Cloud-Based System for Vital Data Recording at Patients’ Home
Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients
EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease
Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data
A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling
The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.
Show 4 more Contents items
ISBN
3-031-09135-3
Doi
10.1007/978-3-031-09135-3
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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