04143nam a22005655i 4500 978-3-031-63929-6 DE-He213 20251030113129.0 cr nn 008mamaa 240820s2024 sz | s |||| 0|eng d 9783031639296 978-3-031-63929-6 10.1007/978-3-031-63929-6 doi TK1-9971 THR bicssc TEC007000 bisacsh THR thema Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications [electronic resource] / edited by Nguyen Hoang Phuong, Nguyen Thi Huyen Chau, Vladik Kreinovich. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 254 p. 76 illus., 66 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Systems, Decision and Control, 2198-4190 ; 543 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. Electrical engineering. 65586 Machine learning. 55059 Biomedical engineering. Electrical and Electronic Engineering. 65588 Machine Learning. 55059 Biomedical Engineering and Bioengineering. Hoang Phuong, Nguyen. editor. edt http://id.loc.gov/vocabulary/relators/edt 85669 Huyen Chau, Nguyen Thi. editor. edt http://id.loc.gov/vocabulary/relators/edt 85670 Kreinovich, Vladik. editor. edt http://id.loc.gov/vocabulary/relators/edt 66835 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031639289 Printed edition: 9783031639302 Printed edition: 9783031639319 Studies in Systems, Decision and Control, 2198-4190 ; 543 https://doi.org/10.1007/978-3-031-63929-6 ZDB-2-ENG ZDB-2-SXE 64027 64027