Artificial Intelligence in Medicine (Record no. 90646)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 08038nam a22006615i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-34344-5 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730181021.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230525s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031343445 |
| -- | 978-3-031-34344-5 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-34344-5 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Intelligence in Medicine |
| Medium | [electronic resource] : |
| Remainder of title | 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings / |
| Statement of responsibility, etc. | edited by Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2023. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVIII, 388 p. 111 illus., 91 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 13897 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This 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. The papers are grouped in topical sections on: machine learning and deep learning; explainability and transfer learning; natural language processing; image analysis and signal analysis; data analysis and statistical models; knowledge representation and decision support. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Social sciences |
| General subdivision | Data processing. |
| 9 (RLIN) | 83360 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Education |
| General subdivision | Data processing. |
| 9 (RLIN) | 82607 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer networks . |
| 9 (RLIN) | 31572 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database management. |
| 9 (RLIN) | 3157 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 9 (RLIN) | 3907 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Application in Social and Behavioral Sciences. |
| 9 (RLIN) | 31815 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers and Education. |
| 9 (RLIN) | 41129 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Communication Networks. |
| 9 (RLIN) | 122975 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database Management. |
| 9 (RLIN) | 3157 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Mining and Knowledge Discovery. |
| 9 (RLIN) | 122976 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Juarez, Jose M. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 122977 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Marcos, Mar. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 122978 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Stiglic, Gregor. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 122979 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tucker, Allan. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 122980 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 122981 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031343438 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031343452 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 13897 |
| 9 (RLIN) | 122982 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-34344-5">https://doi.org/10.1007/978-3-031-34344-5</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
No items available.