Main description:

Introduces the recent applications of new computational intelligent technologies focusing on medical diagnosis issues
Reviews multidisciplinary research in healthcare like data mining, medical imaging, pattern recognition and so forth
Explores intelligent systems and application of learning in healthcare challenges along with the representation and reasoning of clinical uncertainty
Addresses the problems resulting from automated data collection in modern hospitals with possible solutions to support medical decision-making system
Discusses current and emerging intelligent system with respect to evolutionary computation and its applications in medical domain

Contents:

1 Prediction of Diseases Using Machine Learning Techniques; 2 A Novel Virtual Medicinal Care Model for Remote Treatments; 3 Artificial Intelligence in Future Telepsychiatry and Psychotherapy for E-Mental Health Revolution; 4 Optimized Convolutional Neural Network for Classification of Tumors from MR Brain Images; 5 Predictive Modeling of Epidemic Diseases Based on Vector-Borne Diseases Using Artificial Intelligence Techniques; 6 Hybrid Neural Network-Based Fuzzy Inference System Combined with Machine Learning to Detect and Segment Kidney Tumor; 7 Classification of Breast Tumor from Histopathological Images with Transfer Learning; 8 Performance of IoT-Enabled Devices in Remote Health Monitoring Applications; 9 Applying Machine Learning Logistic Regression Model for Predicting Diabetes in Women; 10 Compressive Sensing-Based Medical Imaging Techniques to Detect the Type of Pneumonia in Lungs; 11 Electroencephalogram (EEG) Signal Denoising Using Optimized Wavelet Transform (WT): A Study; 12 Predicting Diabetes in Women by Applying the Support Vector Machine (SVM) Model; 13 Data Mining Approaches on EHR System: A Survey; 14 Chest Tumor Identification in Mammograms by Selected Features Employing SVM; 15 A Novel Optimum Clustering Method Using Variant of NOA; 16 Role of Artificial Intelligence and Neural Network in the Health-Care Sector: An Important Guide for Health Prominence