Information Technology in Biomedicine
Produktnummer:
1887ec4508f8894723b41499cd69e9ea7b
Themengebiete: | Biomedicine Computer Assisted Diagnosis And Treatment Home Care ITIB 2022 Medical Information Systems Patient Care Telemedicine |
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Veröffentlichungsdatum: | 20.06.2022 |
EAN: | 9783031091346 |
Sprache: | Englisch |
Seitenzahl: | 547 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Badura, Pawel Kawa, Jacek Pietka, Ewa Wieclawek, Wojciech |
Verlag: | Springer International Publishing |
Untertitel: | 9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20–22, 2022 Proceedings |
Produktinformationen "Information Technology in Biomedicine"
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 complexityImage and signal analysisMultidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapyThis 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.

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