El. knyga: Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portoroz, Slovenia, June 12-15, 2023, Proceedings

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
Crohns 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.