04102nam 22005895 450 991088108920332120250808090409.09783031639296(electronic bk.)978303163928910.1007/978-3-031-63929-6(MiAaPQ)EBC31608184(Au-PeEL)EBL31608184(CKB)34118611500041(DE-He213)978-3-031-63929-6(EXLCZ)993411861150004120240820d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Other Soft Computing Techniques: Biomedical and Related Applications /edited by Nguyen Hoang Phuong, Nguyen Thi Huyen Chau, Vladik Kreinovich1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (254 pages)Studies in Systems, Decision and Control,2198-4190 ;543Print version: Hoang Phuong, Nguyen Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications Cham : Springer,c2024 9783031639289 How to Estimate Unknown Unknowns From Cosmic Light to Election Polls -- Why Bump Reward Function Works Well In Training Insulin Delivery Systems -- How to Best Retrain a Neural Network If We Added One More Input Variable -- Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees.This book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating diseases such as diabetes and drug addictions. Health issues are very important. So naturally whatever new data processing technique appears, researchers try to apply it to health issues as well. From this viewpoint, Artificial Intelligence (AI) and Computational Intelligence (CI) techniques are no exception: they have been successfully applied to medicine, and more promising applications are on the way. Applications of AI and CI techniques to health issues are the main focus of this book. Health issues are also very delicate, because human bodies are complex organisms. No matter how interesting and promising are new ideas and new techniques, there is always a possibility of unexpected side effects. Because of this, we cannot apply untested methods to patients, and we first need to test these methods on other less critical applications. Several book chapters describe such applications—whose success paves the way for these methods to be used in biomedical situations. These applications range from human/face detection to predicting student success to predicting election results to explaining the observed intensity of space light. We hope that this book helps practitioners and researchers to learn more about computational intelligence techniques and their biomedical applications—and to further develop this important research direction.Studies in Systems, Decision and Control,2198-4190 ;543Electrical engineeringMachine learningBiomedical engineeringElectrical and Electronic EngineeringMachine LearningBiomedical Engineering and BioengineeringElectrical engineering.Machine learning.Biomedical engineering.Electrical and Electronic Engineering.Machine Learning.Biomedical Engineering and Bioengineering.621.3Nguyen Hoang Phuong(Professor in computer sciences)1887061Huyen Chau Nguyen Thi1765477Kreinovich Vladik117742MiAaPQMiAaPQMiAaPQ9910881089203321Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications4522890UNINA