03958nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072002300201072001500224245019300239250001800432264006900450300006400519336002600583337002600609338003600635347002400671490006400695505030500759520156501064650003502629650002902664650002802693650005002721650002902771650004702800700009002847700009202937700008803029710003403117773002603151776003603177776003603213776003603249830006403285856004603349912001403395912001403409999001703423978-3-031-63929-6DE-He21320251030113129.0cr nn 008mamaa240820s2024    sz |    s    |||| 0|eng d  a97830316392969978-3-031-63929-67 a10.1007/978-3-031-63929-62doi 4aTK1-9971 7aTHR2bicssc 7aTEC0070002bisacsh 7aTHR2thema10aMachine Learning and Other Soft Computing Techniques: Biomedical and Related Applicationsh[electronic resource] /cedited by Nguyen Hoang Phuong, Nguyen Thi Huyen Chau, Vladik Kreinovich.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aIX, 254 p. 76 illus., 66 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Systems, Decision and Control,x2198-4190 ;v5430 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.  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. 0aElectrical engineering.965586 0aMachine learning.955059 0aBiomedical engineering.14aElectrical and Electronic Engineering.96558824aMachine Learning.95505924aBiomedical Engineering and Bioengineering.1 aHoang Phuong, Nguyen.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9856691 aHuyen Chau, Nguyen Thi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9856701 aKreinovich, Vladik.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9668352 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303163928908iPrinted edition:z978303163930208iPrinted edition:z9783031639319 0aStudies in Systems, Decision and Control,x2198-4190 ;v54340uhttps://doi.org/10.1007/978-3-031-63929-6  aZDB-2-ENG  aZDB-2-SXE  c64027d64027