This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues

1 Performance of Diverse Machine Learning Algorithms for Heart Disease Prognosis 2 Intelligent Ovarian Detection and Classification in Ultrasound Images using Machine Learning Techniques 3 On effective use of Feature Engineering for improving the predictive capability of machine learning models 4 Artificial Intelligence Emergence in Disruptive Technology 5 An Optimal Diabetic Features based Intelligent System to Predict Diabetic Retinal Disease 6 Cross Recurrence Quantification Analysis For Distinguishing Emotions Induced By Indian Classical Music 7 Pattern Recognition and Classification of Remotely Sensed Satellite Imagery 8 Viability of Information and correspondences innovation for the improvement of Communication abilities in the Healthcare Industry 9 Application of 5G/6G Smart Systems to overcome pandemic and disaster situation 10 Risk Perception, Risk Management, and Safety Assessments: A Review of an Explosion in the Fireworks Industry 11 High Utility Itemset Mining: Fundamentals, Properties, Techniques and Research Scope 12 A Corpus based Quantitative Analysis of Gurmukhi Script 13 An analysis of Protein Interaction and its Methods, Metabolite Pathway and Drug Discovery 14 Biosensors for disease diagnosis