MARC details
| 000 -LIDER |
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07683nam a22006615i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-031-66538-7 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250516160110.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240726s2024 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783031665387 |
| -- |
978-3-031-66538-7 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UYQ |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM004000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UYQ |
| Source |
thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| Edition number |
23 |
| 245 10 - TITLE STATEMENT |
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| Title |
Artificial Intelligence in Medicine |
| Medium |
[electronic resource] : |
| Remainder of title |
22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I / |
| Statement of responsibility, etc. |
edited by Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1st ed. 2024. |
| 264 #1 - |
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| -- |
Cham : |
| -- |
Springer Nature Switzerland : |
| -- |
Imprint: Springer, |
| -- |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XXVIII, 418 p. 125 illus., 106 illus. in color. |
| Other physical details |
online resource. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 347 ## - |
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text file |
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PDF |
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rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number |
2945-9141 ; |
| Volume/sequential designation |
14844 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
-- Predictive modelling and disease risk prediction. -- Applying Gaussian Mixture Model for clustering analysis of emergency room patients based on intubation status. -- Bayesian Neural Network to predict antibiotic resistance. -- Boosting multitask decomposition: directness, sequentiality, subsampling, cross-gradients. -- Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data. -- Enhancing Hypotension Prediction in Real-time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. -- Evaluating the TMR model for multimorbidity decision support using a community-of-practice based methodology. -- Frequent patterns of childhood overweight from longitudinal data on parental and early-life of infants health. -- Fuzzy neural network model based on uni-nullneuron in extracting knowledge about risk factors of Maternal Health. -- Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches. -- Mining Disease Progression Patterns for Advanced Disease Surveillance. -- Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. -- Patient-Centric Approach for Utilising Machine Learning to Predict Health-Related Quality of Life Changes during Chemotherapy. -- Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model. -- Prediction Modelling and Data Quality Assessment for Nursing Scale in a big hospital: a proposal to save resources and improve data quality. -- Process Mining for capacity planning and reconfiguration of a logistics system to enhance the intra-hospital patient transport. Case Study.. -- Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. -- Reinforcement Learning with Balanced Clinical Reward for Sepsis Treatment. -- Secure and Private Vertical Federated Learning for Predicting Personalized CVA Outcomes. -- Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. -- The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data. -- The Impact of Synthetic Data on Fall Detection Application. -- Natural Language Processing. -- A Retrieval-Augmented Generation Strategy To Enhance Medical Chatbot Reliability. -- Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging. -- Clinical Reasoning over Tabular Data and Text with Bayesian Networks. -- Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking. -- Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating domain knowledge into pre-trained models. -- Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS. -- ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis. -- Modeling multiple adverse pregnancy outcomes: Learning from diverse data sources. -- OptimalMEE: Optimizing Large Language Models for Medical Event Extraction through Fine-tuning and Post-hoc Verification. -- Self-Supervised Segment Contrastive Learning for Medical Document Representation 295. -- Sentence-aligned Simplification of Biomedical Abstracts. -- Sequence-Model-Based Medication Extraction from Clinical Narratives in German. -- Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. -- Bioinformatics and omics. -- Breast cancer subtype prediction model integrating domain adaptation with semi-supervised learning on DNA methylation profiles. -- CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding. -- ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. -- Wearable devices, sensors, and robotics. -- Advancements in Non-Invasive AI-Powered Glucose Monitoring: Leveraging Multispectral Imaging Across Diverse Wavelengths. -- Anticipating Stress: Harnessing Biomarker Signals from a Wrist-worn Device for Early Prediction. -- Improving Reminder Apps for Home Voice Assistants. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI. |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
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| Owner |
UABC ; |
| Method of acquisition |
Perpetuidad |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Education |
| Subdivisión general |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Application software. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computers and Education. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database Management. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Computer and Information Systems Applications. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Finkelstein, Joseph. |
| Relator term |
editor. |
| -- |
(orcid)0000-0002-8084-7441 |
| -- |
https://orcid.org/0000-0002-8084-7441 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Moskovitch, Robert. |
| Relator term |
editor. |
| -- |
(orcid)0000-0002-2138-5080 |
| -- |
https://orcid.org/0000-0002-2138-5080 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Parimbelli, Enea. |
| Relator term |
editor. |
| -- |
(orcid)0000-0003-0679-828X |
| -- |
https://orcid.org/0000-0003-0679-828X |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Printed edition: |
| International Standard Book Number |
9783031665370 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Printed edition: |
| International Standard Book Number |
9783031665394 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Lecture Notes in Artificial Intelligence, |
| -- |
2945-9141 ; |
| Volume number/sequential designation |
14844 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Public note |
Libro electrónico |
| Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-66538-7 |
| 912 ## - |
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ZDB-2-SCS |
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ZDB-2-SXCS |
| 912 ## - |
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| -- |
ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Libro Electrónico |
