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High Performance Computing for Intelligent Medical Systems
High Performance Computing for Intelligent Medical Systems
Knygos.lt klubas Knygos.lt nariams
289,51 €
-30%
Įprastai
413,59 €
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Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emerge…
  • Leidėjas:
  • ISBN-10: 075033813X
  • ISBN-13: 9780750338134
  • Formatas: 17.8 x 25.4 x 1.9 cm, kieti viršeliai
  • Kalba: Anglų

High Performance Computing for Intelligent Medical Systems (el. knyga) (skaityta knyga) | knygos.lt

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Aprašymas

Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emergence of intelligent medical systems. These systems can provide a deeper insight into many healthcare and medical problems. It can also aid in controlling, analyzing and the management of medical applications and can provide significant improvement in the quality of life and efficacy of clinical treatment. However, the successful application of high-performance computing in medicine requires in-depth knowledge and understanding of medical systems.


This book focuses on the advances and applications of high-performance computing for medical systems and provides an insight into the latest developments in the field. It will help readers to understand the high-performance computing research domain as related to intelligent medical systems, its effect on our lives and its present limitations.


Key features


  • Incorporates a range of cutting-edge computing technologies as applied to healthcare.
  • International expert authors.
  • Reviews present progress and future challenges
  • Focus on applications.
  • Interdisciplinary readership.
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  • Leidėjas:
  • ISBN-10: 075033813X
  • ISBN-13: 9780750338134
  • Formatas: 17.8 x 25.4 x 1.9 cm, kieti viršeliai
  • Kalba: Anglų

Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emergence of intelligent medical systems. These systems can provide a deeper insight into many healthcare and medical problems. It can also aid in controlling, analyzing and the management of medical applications and can provide significant improvement in the quality of life and efficacy of clinical treatment. However, the successful application of high-performance computing in medicine requires in-depth knowledge and understanding of medical systems.


This book focuses on the advances and applications of high-performance computing for medical systems and provides an insight into the latest developments in the field. It will help readers to understand the high-performance computing research domain as related to intelligent medical systems, its effect on our lives and its present limitations.


Key features


  • Incorporates a range of cutting-edge computing technologies as applied to healthcare.
  • International expert authors.
  • Reviews present progress and future challenges
  • Focus on applications.
  • Interdisciplinary readership.

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