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Information Technologies In Biomedicine Volume 4 2014th Edition Ewa Pietka

  • SKU: BELL-4691418
Information Technologies In Biomedicine Volume 4 2014th Edition Ewa Pietka
$ 31.00 $ 45.00 (-31%)

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Information Technologies In Biomedicine Volume 4 2014th Edition Ewa Pietka instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 29.2 MB
Pages: 422
Author: Ewa Pietka, Jacek Kawa, Wojciech Wieclawek
ISBN: 9783319065953, 3319065955
Language: English
Year: 2014
Edition: 2014

Product desciption

Information Technologies In Biomedicine Volume 4 2014th Edition Ewa Pietka by Ewa Pietka, Jacek Kawa, Wojciech Wieclawek 9783319065953, 3319065955 instant download after payment.

New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications together with medical equipment and instruments have become standard tools underpinning the current rapid progress with developing Computational Intelligence. We are witnessing a radical change as technologies have been integrated into systems that address the core of medicine, including patient care in ambulatory and in-patient setting, disease prevention, health promotion, rehabilitation and home care. Computer aided diagnosis and treatment systems increase the objectivity of the analysis and speed up the response to pathological changes.

This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Patient's safety and shortening of the rehabilitation time requires a more rapid development of minimally invasive surgery supported by image navigation techniques. Home care, remote rehabilitation assistance, safety of the elderly requires new areas to be explored in telemedicine and telegeriatrics.

This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist clinicians in patient diagnosis and treatment. 

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