Computational intelligence and data sciences: paradigms in biomedical engineering

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, Meta…