Artificial Intelligence Applications for Health Care

Covers computational Intelligence techniques like fuzzy sets, artificial neural networks, deep neural networks, and genetic algorithm for Healthcare systems
Provides easy understanding concepts like signal and image filtering techniques
Includes discussion over filtering and classification problems
Details studies with medical signal (ECG, EEG, EMG) and image (X-rays, FMRI, CT) datasets
Describes evolution parameters such as signal-to-noise ratio, mean square error, accuracy, precision, and recall