LEADER 03157nam 2200493 450 001 9910793853903321 005 20230126221408.0 010 $a1-4773-1974-3 024 7 $a10.7560/319727 035 $a(CKB)4100000009583497 035 $a(MiAaPQ)EBC5928917 035 $a(DE-B1597)586771 035 $a(OCoLC)1269268822 035 $a(DE-B1597)9781477319741 035 $a(EXLCZ)994100000009583497 100 $a20191205d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCaught in the path of Katrina $ea survey of the hurricane's human effects /$fJ. Steven Picou and Keith Nicholls ; foreword by Lee Clarke 210 1$aAustin, Texas :$cUniversity of Texas Press,$d[2019] 210 4$d©2019 215 $a1 online resource (130 pages) 225 1 $aThe Katrina bookshelf 300 $aIncludes index. 311 $a1-4773-1972-7 327 $tFrontmatter -- $tCONTENTS -- $tFOREWORD -- $tACKNOWLEDGMENTS -- $t1. Introduction -- $t2. Experiencing Katrina -- $t3. The Long Road Home -- $t4. Emerging Obstacles to Rebuilding -- $t5. Physical Health Effects -- $t6. Mental Health Effects -- $t7. Summing Up and Lessons Learned -- $tAppendix 1. The Saffir-Simpson Hurricane Wind Scale -- $tAppendix 2. Survey Methodology -- $tNOTES -- $tINDEX 330 $aIn 2008, three years after Hurricane Katrina cut a deadly path along the northern coast of the Gulf of Mexico, researchers J. Steven Picou and Keith Nicholls conducted a survey of the survivors in Louisiana and Mississippi, receiving more than twenty-five hundred responses, and followed up two years later with their than five hundred of the initial respondents. Showcasing these landmark findings, Caught in the Path of Katrina: A Survey of the Hurricane's Human Effects yields a more complete understanding of the traumas endured as a result of the Storm of the Century. The authors report on evacuation behaviors, separations from family, damage to homes, and physical and psychological conditions among residents of seven of the parishes and counties that bore the brunt of Katrina. The findings underscore the frequently disproportionate suffering of African Americans and the agonizingly slow pace of recovery. Highlighting the lessons learned, the book offers suggestions for improved governmental emergency management techniques to increase preparedness, better mitigate storm damage, and reduce the level of trauma in future disasters. Multiple major hurricanes have unleashed their destruction in the years since Katrina, making this a crucial study whose importance only continues to grow. 410 0$aKatrina bookshelf. 606 $aHurricane Katrina, 2005$xSocial aspects 615 0$aHurricane Katrina, 2005$xSocial aspects. 676 $a976.044 700 $aPicou$b J. Steven$01533745 702 $aNicholls$b Keith 702 $aClarke$b Lee 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910793853903321 996 $aCaught in the path of Katrina$93825935 997 $aUNINA LEADER 08028nam 22007695 450 001 9910728928403321 005 20250506103100.0 010 $a3-031-34344-1 024 7 $a10.1007/978-3-031-34344-5 035 $a(MiAaPQ)EBC30577936 035 $a(Au-PeEL)EBL30577936 035 $a(OCoLC)1381446977 035 $a(DE-He213)978-3-031-34344-5 035 $a(BIP)091289147 035 $a(PPN)272259454 035 $a(CKB)26839954300041 035 $a(EXLCZ)9926839954300041 100 $a20230525d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Medicine $e21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portoro?, Slovenia, June 12?15, 2023, Proceedings /$fedited by Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (398 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13897 311 08$aPrint version: Juarez, Jose M. Artificial Intelligence in Medicine Cham : Springer,c2023 9783031343438 320 $aIncludes bibliographical references and index. 327 $aMachine Learning and Deep Learning -- Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data -- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens -- A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis -- Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data -- Causal Discovery with Missing Data in a Multicentric Clinical Study -- Novel approach for phenotyping based on diverse top-k subgroup lists -- Patient Event Sequences for Predicting Hospitalization Length of Stay -- Autoencoder-based prediction of ICU clinical codes -- Explainability and Transfer Learning -- Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics -- Explainable Artificial Intelligence for Cytological Image Analysis -- Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction -- Explainable AI for Medical Event Prediction for Heart Failure Patients -- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection -- Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare -- Batch Integrated Gradients: Explanations for Temporal Electronic Health Records -- Improving stroke trace classification explainability through counterexamples -- Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission -- Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis -- Natural Language Processing -- A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers -- Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing -- BERT for complex systematic review screening to support the future of medical research -- GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text -- Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes -- Machine learning models for automatic Gene Ontology annotation of biological texts -- Image Analysis and Signal Analysis -- A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images -- Can knowledge transfer techniques compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico Study -- Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models -- Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction -- Crowdsourcing segmentation of histopathological images using annotations provided by medical students -- Automatic sleep stage classification on EEG signals using time-frequency representation -- Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies -- Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese -- ECGAN: Self-supervised generative adversarial network for electrocardiography -- Data Analysis and Statistical Models -- Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia -- Machine Learning Based Prediction of Incident Cases of Crohn?s Disease Using Electronic Health Records from a Large Integrated Health System -- Prognostic prediction of paediatric DHF in two hospitals in Thailand -- The Impact of Bias on Drift Detection in AI Health Software -- A Topological Data Analysis Framework for Computational Phenotyping -- Ranking of Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis -- Knowledge Representation and Decision Support -- Supporting the prediction of AKI evolution through interval-based approximate temporal functional dependencies -- Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology -- Ontology model for supporting process mining on healthcare-related data -- Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case -- Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows -- An Interactive Dashboard for Patient Monitoring and Management: a Support Tool to the Continuity of Care Centre -- A general-purpose AI assistant embedded in an open-source radiology information system -- Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal. . 330 $aThis book constitutes the refereed proceedings of the 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, held in Portoroz, Slovenia, in June12?15, 2023. The 23 full papers and 21 short papers presented together with 3 demonstration papers were selected from 108 submissions. 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