LEADER 04102nam 22005895 450 001 9910881089203321 005 20250808090409.0 010 $a9783031639296$b(electronic bk.) 010 $z9783031639289 024 7 $a10.1007/978-3-031-63929-6 035 $a(MiAaPQ)EBC31608184 035 $a(Au-PeEL)EBL31608184 035 $a(CKB)34118611500041 035 $a(DE-He213)978-3-031-63929-6 035 $a(EXLCZ)9934118611500041 100 $a20240820d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Other Soft Computing Techniques: Biomedical and Related Applications /$fedited by Nguyen Hoang Phuong, Nguyen Thi Huyen Chau, Vladik Kreinovich 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (254 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v543 311 08$aPrint version: Hoang Phuong, Nguyen Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications Cham : Springer,c2024 9783031639289 327 $aHow 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. 330 $aThis book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating diseases such as diabetes and drug addictions. Health issues are very important. So naturally whatever new data processing technique appears, researchers try to apply it to health issues as well. From this viewpoint, Artificial Intelligence (AI) and Computational Intelligence (CI) techniques are no exception: they have been successfully applied to medicine, and more promising applications are on the way. Applications of AI and CI techniques to health issues are the main focus of this book. Health issues are also very delicate, because human bodies are complex organisms. No matter how interesting and promising are new ideas and new techniques, there is always a possibility of unexpected side effects. Because of this, we cannot apply untested methods to patients, and we first need to test these methods on other less critical applications. Several book chapters describe such applications?whose success paves the way for these methods to be used in biomedical situations. These applications range from human/face detection to predicting student success to predicting election results to explaining the observed intensity of space light. We hope that this book helps practitioners and researchers to learn more about computational intelligence techniques and their biomedical applications?and to further develop this important research direction. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v543 606 $aElectrical engineering 606 $aMachine learning 606 $aBiomedical engineering 606 $aElectrical and Electronic Engineering 606 $aMachine Learning 606 $aBiomedical Engineering and Bioengineering 615 0$aElectrical engineering. 615 0$aMachine learning. 615 0$aBiomedical engineering. 615 14$aElectrical and Electronic Engineering. 615 24$aMachine Learning. 615 24$aBiomedical Engineering and Bioengineering. 676 $a621.3 700 $aNguyen$b Hoang Phuong$c(Professor in computer sciences)$01887061 701 $aHuyen Chau$b Nguyen Thi$01765477 701 $aKreinovich$b Vladik$0117742 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910881089203321 996 $aMachine Learning and Other Soft Computing Techniques: Biomedical and Related Applications$94522890 997 $aUNINA