LEADER 01429nam 2200385Ia 450 001 996386977603316 005 20221108094823.0 035 $a(CKB)4940000000081244 035 $a(EEBO)2248495586 035 $a(OCoLC)13725522 035 $a(EXLCZ)994940000000081244 100 $a19860612d1650 uy | 101 0 $alat 135 $aurbn||||a|bb| 200 10$aIvris et ivdicii fecialis, sive, Ivris inter gentes, et qvaestionvm de eodem explicatio$b[electronic resource] $equa quae ad pacem & bellum inter diversos principes, aut populos spectant, ex praecipuis historico jure-peritis /$fexhibentur opera R.Z 210 $aOxoniae $cExcudebat H. Hall $cImpensis Tho. Robinson$d1650 215 $a[16], 196 p 300 $aWritten by Richard Zouche. Cf. DNB. 300 $aErrata: p. [4] 300 $aReproduction of original in Union Theological Seminary Library, New York. 330 $aeebo-0160 606 $aInternational law$vEarly works to 1800 606 $aWar (International law)$vEarly works to 1800 615 0$aInternational law 615 0$aWar (International law) 700 $aZouch$b Richard$f1590-1661.$0241620 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996386977603316 996 $aIvris et ivdicii fecialis, sive, Ivris inter gentes, et qvaestionvm de eodem explicatio$92394392 997 $aUNISA LEADER 05415nam 22005655 450 001 9911039321203321 005 20251101120416.0 010 $a9783032043153$b(electronic bk.) 010 $z9783032043146 024 7 $a10.1007/978-3-032-04315-3 035 $a(MiAaPQ)EBC32384782 035 $a(Au-PeEL)EBL32384782 035 $a(CKB)41996879700041 035 $a(DE-He213)978-3-032-04315-3 035 $a(EXLCZ)9941996879700041 100 $a20251101d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraph Neural Networks for Neurological Disorders $eFundamentals, Applications and Benefits in Research and Diagnostics /$fedited by Md. Mehedi Hassan, Anindya Nag, Shariful Islam, Herat Joshi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (0 pages) 225 1 $aMedicine Series 311 08$aPrint version: Hassan, Mehedi Graph Neural Networks for Neurological Disorders Cham : Springer,c2025 9783032043146 327 $aUnderstanding Graph Neural Networks: Foundations and Applications -- Neurological Disorders: An Overview of Classification and Diagnosis -- Graph Theory Fundamentals for Brain Network Modeling -- Graph Neural Network Architectures: A Comprehensive Review -- Genetic Influences on Brain Connectivity and Neurological Disorders -- Multi-modal Neuroimaging Data Fusion for GNNs -- Predictive Modeling of Neurological Disease Progression -- Diagnostic Applications of Graph Neural Networks -- Personalized Medicine Approaches in Neurology -- Ethical Considerations in GNN Research for Neurological Disorders -- Network Neuroscience: Bridging Gaps in Understanding Brain Connectivity -- GNNs for Studying Cognitive Disorders: Alzheimer's Disease and Dementia -- Parkinson's Disease: Insights from Graph Neural Network Analysis -- GNNs in Epilepsy Research: Seizure Prediction and Classification -- Neurodevelopmental Disorders and GNN Applications -- Brain Tumor Analysis using Graph Neural Networks -- Stroke and GNN-based Rehabilitation Strategies -- GNNs for Understanding Neurodegenerative Disorders -- Neuropsychiatric Disorders: Insights from Graph Neural Network Analysis -- Future Directions and Challenges in GNN Research for Neurology. 330 $aThis book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book addresses a crucial gap in the current literature, providing valuable insights into the analysis and interpretation of complex brain networks and neurological data. Intended for a diverse audience, including clinicians, scientists, researchers, and students, it demystifies the complexities of GNNs and their applications in neurology. For clinicians and healthcare practitioners, the book illustrates how GNNs can enhance diagnostic accuracy, inform personalized treatment plans and predict disease progression. This leads to improved patient outcomes and a deeper understanding of neurological conditions such as Alzheimer's, Parkinson's, multiple sclerosis and epilepsy. Researchers will find the book particularly valuable as it delves into the methodologies and technical aspects of GNNs, showcasing their ability to handle diverse data sources including genetic, imaging and clinical information. By integrating these datasets, GNNs reveal hidden patterns and biomarkers, offering new avenues for research and potential therapeutic targets. A Guide to Graph Neural Networks for Neurological Disorders addresses the challenge of missing data, a common issue in neurological research, and demonstrates how GNNs can manage and mitigate these gaps. For students, both undergraduate and postgraduate, the book serves as an educational tool, providing clear explanations and practical examples that make complex concepts accessible. It equips the next generation of neuroscientists and data scientists with the knowledge and skills needed to contribute to this rapidly evolving field. The book aims to provide a foundational understanding of GNNs, demonstrate their practical applications in neurology, and inspire further research and innovation. By bridging the gap between AI and medical practice, the book empowers readers to leverage cutting-edge technology in the quest to understand and treat neurological illnesses, ultimately enhancing the quality of care and advancing the field of neuroscience. 410 0$aMedicine Series 606 $aMedical informatics 606 $aNeurosciences 606 $aNeural networks (Computer science) 606 $aHealth Informatics 606 $aNeuroscience 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aMedical informatics. 615 0$aNeurosciences. 615 0$aNeural networks (Computer science). 615 14$aHealth Informatics. 615 24$aNeuroscience. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a610.285 700 $aHassan$b Mehedi$01833381 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911039321203321 996 $aGraph Neural Networks for Neurological Disorders$94454531 997 $aUNINA