LEADER 03747nam 22006255 450 001 9910736025903321 005 20230725213852.0 010 $a3-319-75922-1 024 7 $a10.1007/978-3-319-75922-7 035 $a(CKB)27861718800041 035 $a(DE-He213)978-3-319-75922-7 035 $a(PPN)27225407X 035 $a(MiAaPQ)EBC30666232 035 $a(Au-PeEL)EBL30666232 035 $a(EXLCZ)9927861718800041 100 $a20230725d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Computational Neurodegeneration /$fedited by Panagiotis Vlamos, Ilias S. Kotsireas, Ioannis Tarnanas 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (194 illus., 162 illus. in color. eReference.) 311 $a9783319759210 327 $aNeurodegenerative disease modelling -- Information processing and visualization -- Digital health and mixed realities -- Data Mining, Metaheuristics, High-performance Computing -- Mathematical Modelling Methodologies in Neurodegeneration. 330 $aThe Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives. 606 $aNeurosciences 606 $aBioinformatics 606 $aMedical informatics 606 $aNeural networks (Computer science) 606 $aNeuroscience 606 $aComputational and Systems Biology 606 $aHealth Informatics 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aNeurosciences. 615 0$aBioinformatics. 615 0$aMedical informatics. 615 0$aNeural networks (Computer science). 615 14$aNeuroscience. 615 24$aComputational and Systems Biology. 615 24$aHealth Informatics. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a612.8 702 $aVlamos$b Panagiotis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKotsireas$b Ilias S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTarnanas$b Ioannis$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736025903321 996 $aHandbook of Computational Neurodegeneration$93421586 997 $aUNINA