Artificial Intelligence Applications for Health Care
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Artificial Intelligence Applications for Health Care
Covers computational Intelligence techniques like fuzzy sets, artificial neural networks, deep neural networks, and genetic algorithm for Healthcare systemsProvides easy understanding concepts like signal and image filtering techniquesIncludes discussion over filtering and classification problemsDetails studies with medical signal (ECG, EEG, EMG) and image (X-rays, FMRI, CT) datasetsDescribes evolution parameters such as signal-to-noise ratio, mean square error, accuracy, precision, and recall
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