Computational Intelligence and Its Applications in Healthcare

<ol> <li>The impact of Internet of Things and data semantics on decision making for outpatient monitoring</li> <p> <li>Deep-learning approaches for health care: Patients in intensive care</li> <p> <li>Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach</li> <p> <li>Blockchain for public health: Technology, applications, and a case study</li> <p> <li>Compression and multiplexing of medical images using optical image processing</li> <p> <li>Analysis of skin lesions using machine learning techniques</li> <p> <li>Computational intelligence using ontology—A case study on the knowledge representation in a clinical decision support system</li> <p> <li>Neural network-based abnormality detection for electrocardiogram time signals</li> <p> <li>Machine learning approaches for acetic acid test based uterine cervix image analysis</li> <p> <li>Convolutional neural network for biomedical applications</li> <p> <li>Alzheimer’s disease classification using deep learning</li> <p> <li>Diabetic retinopathy identification using autoML</li> <p> <li>Knowledge-based systems in medical applications</li> <p> <li>Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection</li> <p> <li>Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification</li> </ol>