LEADER 07368nam 22007335 450 001 9910878044603321 005 20251225195025.0 010 $a3-031-66538-4 024 7 $a10.1007/978-3-031-66538-7 035 $a(MiAaPQ)EBC31569764 035 $a(Au-PeEL)EBL31569764 035 $a(CKB)33428453400041 035 $a(DE-He213)978-3-031-66538-7 035 $a(EXLCZ)9933428453400041 100 $a20240726d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Medicine $e22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9?12, 2024, Proceedings, Part I /$fedited by Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (438 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14844 311 08$a3-031-66537-6 327 $a -- 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. 330 $aThis two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14844 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aComputer networks 606 $aDatabase management 606 $aData mining 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aComputer Communication Networks 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aComputer networks. 615 0$aDatabase management. 615 0$aData mining. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 676 $a006.3 700 $aFinkelstein$b Joseph$0568585 701 $aMoskovitch$b Robert$01753299 701 $aParimbelli$b Enea$01753300 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910878044603321 996 $aArtificial Intelligence in Medicine$94189147 997 $aUNINA