Product Description
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. Key Features Covers computational Intelligence techniques like artificial neural networks deep neural networks and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG EEG EMG) and image (X-ray FMRI CT) datasets Describes evolution parameters such as accuracy precision and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing machine and deep learning and healthcare technologies. | Artificial Intelligence Applications for Health Care
Crc Press Artificial Intelligence Applications For Health Care 09781032148465
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. Key Features Covers computational Intelligence techniques like artificial neural networks deep neural networks and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG EEG EMG) and image (X-ray FMRI CT) datasets Describes evolution parameters such as accuracy precision and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing machine and deep learning and healthcare technologies. | Artificial Intelligence Applications for Health Care
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