Artificial intelligence in medicine : 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings /
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| Corporate Authors: | , |
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| Other Authors: | , , , |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2023.
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| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13897. LNCS sublibrary. Artificial intelligence. |
| Subjects: | |
| Online Access: | Connect to this title online (unlimited users allowed) |
MARC
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| 111 | 2 | |a Conference on Artificial Intelligence in Medicine (2005- ) |n (21st : |d 2023 : |c Portorož, Slovenia) | |
| 245 | 1 | 0 | |a Artificial intelligence in medicine : |b 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings / |c Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker, editors. |
| 246 | 3 | |a AIME 2023 | |
| 264 | 1 | |a Cham : |b Springer, |c 2023. | |
| 300 | |a 1 online resource ( xviii, 388 pages) : |b illustrations (some color). | ||
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| 490 | 1 | |a Lecture notes in artificial intelligence, |x 2945-9141 | |
| 490 | 1 | |a Lecture notes in computer science ; |v 13897 | |
| 490 | 1 | |a LNCS sublibrary, SL 7, Artificial intelligence | |
| 505 | 0 | |a Machine 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. . | |
| 500 | |a Includes author index. | ||
| 533 | |a Electronic reproduction. |b Ann Arbor, MI |n Available via World Wide Web. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed June 8, 2023). | |
| 650 | 0 | |a Artificial intelligence |x Medical applications |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2009115960 | |
| 650 | 0 | |a Medical informatics |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2008107637 | |
| 650 | 6 | |a Intelligence artificielle en médecine |v Congrès. | |
| 650 | 6 | |a Médecine |x Informatique |v Congrès. | |
| 650 | 7 | |a Artificial intelligence |x Medical applications. |2 fast |0 (OCoLC)fst00817267 |0 http://id.worldcat.org/fast/817267 | |
| 650 | 7 | |a Medical informatics. |2 fast |0 (OCoLC)fst01014175 |0 http://id.worldcat.org/fast/1014175 | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 655 | 7 | |a Conference papers and proceedings. |2 fast |0 (OCoLC)fst01423772 | |
| 700 | 1 | |a Juarez, Jose M., |e editor. |0 (orcid)0000-0003-1776-1992 |1 https://orcid.org/0000-0003-1776-1992 | |
| 700 | 1 | |a Marcos, Mar, |e editor. |0 (orcid)0000-0001-9672-4190 |0 http://id.loc.gov/authorities/names/n2008031584 |1 https://orcid.org/0000-0001-9672-4190 | |
| 700 | 1 | |a Štiglic, Gregor, |e editor. |0 (orcid)0000-0002-0183-8679 |0 http://id.loc.gov/authorities/names/n2023184223 |1 https://orcid.org/0000-0002-0183-8679 | |
| 700 | 1 | |a Tucker, Allan, |e editor. |0 http://id.loc.gov/authorities/names/nb2013001245 |1 https://orcid.org/0000-0001-5105-3506 | |
| 710 | 2 | |a ProQuest (Firm) |0 http://id.loc.gov/authorities/names/n2007068018 | |
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| 830 | 0 | |a Lecture notes in computer science. |p Lecture notes in artificial intelligence. |0 http://id.loc.gov/authorities/names/n86736436 | |
| 830 | 0 | |a Lecture notes in computer science ; |v 13897. |0 http://id.loc.gov/authorities/names/n42015162 | |
| 830 | 0 | |a LNCS sublibrary. |n SL 7, |p Artificial intelligence. |0 http://id.loc.gov/authorities/names/n2008077786 | |
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