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Название: High Performance Computing for Intelligent Medical Systems
Автор: Varun Bajaj, Irshad Ahmad Ansari
Издательство: IOP Publishing
Серия: IOP Series in Next Generation Computing
Год: 2021
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 25.6 MB
The interface of high-performance computing, computational intelligence and medical science creates intelligent medical systems which offer significant improvements in the quality of life and efficacy of clinical treatment. This book reviews advances and applications of high-performance computing for medical applications. The present era is witnessing a large-scale development in the field of Computational Intelligence (CI). High performance computing has emerged as a powerful solution to deal with complex problems. The development happening around the high performance computing and related fields is affecting us in a very positive way. The field of medical science has benefited greatly from the field of the Computational Intelligence. This has led to the development of intelligent medical systems (IMS). IMS are a result of research collaboration of high performance computing with medical science. The development of IMS requires a large amount of data generation, storage and processing. To apply high performance computing in the medical domain, in depth knowledge and understanding of the medical system is required. In the classification phase, Linear Discriminant Analysis, Artificial Neural Network, k-nearest neighbor, and Support Vector Machine are employed for the classification task.
Автор: Varun Bajaj, Irshad Ahmad Ansari
Издательство: IOP Publishing
Серия: IOP Series in Next Generation Computing
Год: 2021
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 25.6 MB
The interface of high-performance computing, computational intelligence and medical science creates intelligent medical systems which offer significant improvements in the quality of life and efficacy of clinical treatment. This book reviews advances and applications of high-performance computing for medical applications. The present era is witnessing a large-scale development in the field of Computational Intelligence (CI). High performance computing has emerged as a powerful solution to deal with complex problems. The development happening around the high performance computing and related fields is affecting us in a very positive way. The field of medical science has benefited greatly from the field of the Computational Intelligence. This has led to the development of intelligent medical systems (IMS). IMS are a result of research collaboration of high performance computing with medical science. The development of IMS requires a large amount of data generation, storage and processing. To apply high performance computing in the medical domain, in depth knowledge and understanding of the medical system is required. In the classification phase, Linear Discriminant Analysis, Artificial Neural Network, k-nearest neighbor, and Support Vector Machine are employed for the classification task.