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001472155 001__ 1472155
001472155 003__ OCoLC
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001472155 019__ $$a1391130400
001472155 020__ $$a9783031319822
001472155 020__ $$a3031319826
001472155 020__ $$z3031319818
001472155 020__ $$z9783031319815
001472155 0247_ $$a10.1007/978-3-031-31982-2$$2doi
001472155 035__ $$aSP(OCoLC)1391441420
001472155 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE
001472155 049__ $$aISEA
001472155 050_4 $$aRC365
001472155 050_4 $$aQH324.2-324.25
001472155 08204 $$a616.8047$$223/eng/20230731
001472155 1112_ $$aGeNeDis (Conference)$$n(5th :$$d2022)
001472155 24510 $$aGeNeDis 2022 :$$bComputational Biology and Bioinformatics /$$cPanagiotis Vlamos, editor.
001472155 260__ $$aCham :$$bSpringer International Publishing AG,$$c2023.
001472155 300__ $$a1 online resource (308 p.).
001472155 4901_ $$aAdvances in experimental medicine and biology ;$$vvolume 1424
001472155 5058_ $$aIntro -- Acknowledgment -- Contents -- 1: Dynamic Reconfiguration of Dominant Intrinsic Coupling Modes in Elderly at Prodromal Alzheimerś Disease Risk -- 1.1 Introduction -- 1.2 Patient Recruitment and Data Availability -- 1.2.1 Disease Categorization -- 1.2.2 Cognitive Battery -- 1.2.3 Mnemonic Strategy Training -- 1.2.4 Demographics and Neuropsychological Measurements -- 1.3 Interventions -- 1.4 Neuropsychological Performance -- 1.5 Methods -- 1.5.1 EEG Data Acquisition -- 1.5.2 EEG Data Source Reconstruction -- 1.5.3 EEG Data Source Connectivity Analysis
001472155 5058_ $$a1.5.4 Statistical Filtering: Surrogate EEG Source Connectivity Analysis -- 1.5.5 Data-Driven Topological Filtering -- 1.5.6 Graph Diffusion Distance Metric -- 1.5.7 Quantifying the Contribution of Each Dominant Intrinsic Coupling Mode (DICM) -- 1.5.8 A Dissimilarity Measure for Dynamical Trajectories Based on the Wald-Wolfowitz (WW) Test -- 1.5.9 Estimating Time-Delays with Delay Symbolic Transfer Entropy (dSTE) -- 1.6 Improvements -- 1.6.1 Improvement of GE-Cost for the MST Group -- 1.6.2 Improvement of Brain Activity Synchronization Due to MST Intervention Protocol
001472155 5058_ $$a1.8 Conclusions -- References -- 2: A Sensor-Based Platform for Early-Stage Parkinsonś Disease Monitoring -- 2.1 Introduction -- 2.2 he Sensor Perspective -- 2.3 Sensor Data Acquisition/Processing Unit -- 2.4 Interface with Peripheral Sensors Platform -- 2.5 Central Computing Unit and Dashboard -- 2.6 Conclusions -- References -- 3: Pressure Prediction on Mechanical Ventilation Control Using Bidirectional Long-Short Term Memory Neural Networks -- 3.1 Introduction -- 3.2 Background Work -- 3.2.1 Dynamic Systems -- 3.2.2 PID Controller -- 3.2.3 How Mechanical Ventilation Works -- 3.3 The Dataset
001472155 5058_ $$a3.3.1 Data Format -- 3.3.2 Data Preprocessing -- 3.4 Model -- 3.4.1 LSTM Nodes -- 3.4.2 Bidirectional LSTM -- 3.4.3 Model Architecture and Training -- 3.5 Results -- 3.6 Conclusions and Future Work -- References -- 4: Making Pre-screening for Alzheimerś Disease (AD) and Postoperative Delirium Among Post-Acute COVID-19 Syndrome (PACS) a Na... -- 4.1 Introduction -- 4.2 PACS Long-Term Cognitive Outcomes -- 4.3 Postoperative Delirium Long-Term Cognitive Outcomes -- 4.4 Digital Neuro Signatures of Brain Resilience -- References
001472155 5058_ $$a5: Graph Theory-Based Approach in Brain Connectivity Modeling and Alzheimerś Disease Detection
001472155 506__ $$aAccess limited to authorized users.
001472155 520__ $$aThe 5th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2022) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.
001472155 588__ $$aDescription based upon print version of record.
001472155 650_0 $$aNervous system$$xDegeneration$$vCongresses.
001472155 650_0 $$aComputational biology$$vCongresses.
001472155 650_0 $$aBioinformatics$$vCongresses.
001472155 655_7 $$aConference papers and proceedings.$$2lcgft
001472155 655_0 $$aElectronic books.
001472155 7001_ $$aVlamos, Panayiotis.
001472155 77608 $$iPrint version:$$aVlamos, Panagiotis$$tGeNeDis 2022$$dCham : Springer International Publishing AG,c2023$$z9783031319815
001472155 830_0 $$aAdvances in experimental medicine and biology ;$$vv. 1424.
001472155 852__ $$bebk
001472155 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-31982-2$$zOnline Access$$91397441.1
001472155 909CO $$ooai:library.usi.edu:1472155$$pGLOBAL_SET
001472155 980__ $$aBIB
001472155 980__ $$aEBOOK
001472155 982__ $$aEbook
001472155 983__ $$aOnline
001472155 994__ $$a92$$bISE