Juarez J.M., Marcos M., Stiglic G., Tucker A. Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine

Cham: Springer, 2023. — 398 p.Preface
Organization
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
Classification of Fall Types in Parkinson's 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 Hæmodynamics? 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*-12pt
Prognostic Prediction of Pediatric 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 Predictive 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
Author Index