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Anil Kumar
Artificial Intelligence Applications for Health Care
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699450Artificial Intelligence Applications for Health Carehttps://www.gandhi.com.mx/artificial-intelligence-applications-for-health-care/phttps://gandhi.vtexassets.com/arquivos/ids/303335/22d34867-56be-4ae9-942f-e37256eaf42b.jpg?v=63833416978137000011801180MXNCRC PressInStock/Ebooks/<p>This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book.</p><p>Key Features</p><ul><li>Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems</li><li>Provides easy understanding for concepts like signal and image filtering techniques</li><li>Includes discussion over data preprocessing and classification problems</li><li>Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets</li><li>Describes evolution parameters such as accuracy, precision, and recall etc.</li></ul><p>This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.</p>...695290Artificial Intelligence Applications for Health Care11801180https://www.gandhi.com.mx/artificial-intelligence-applications-for-health-care/phttps://gandhi.vtexassets.com/arquivos/ids/303335/22d34867-56be-4ae9-942f-e37256eaf42b.jpg?v=638334169781370000InStockMXN99999DIEbook20229781000570342_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9781000570342_<p>This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book.</p><p>Key Features</p><ul><li>Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems</li><li>Provides easy understanding for concepts like signal and image filtering techniques</li><li>Includes discussion over data preprocessing and classification problems</li><li>Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets</li><li>Describes evolution parameters such as accuracy, precision, and recall etc.</li></ul><p>This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.</p>(*_*)9781000570342_<p>This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book.</p><p>Key Features</p><ul><li>Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems</li><li>Provides easy understanding for concepts like signal and image filtering techniques</li><li>Includes discussion over data preprocessing and classification problems</li><li>Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets</li><li>Describes evolution parameters such as accuracy, precision, and recall etc.</li></ul><p>This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.</p>...9781000570342_CRC Presslibro_electonico_757d7335-1d2e-3f58-9a32-858b465d8abb_9781000570342;9781000570342_9781000570342Anil KumarInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/taylorandfrancis-epub-45647b5a-7069-4374-b795-a1facf374094.epub2022-04-19T00:00:00+00:00CRC Press