Knowledge-Based Systems Explainable Decision Support Using Task Network Models in Notation
Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks
Towards an AI planning-based pipeline for the management of multimorbid patients
A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing
Ontological Representation of Causal Relations for a Deep Understanding of Associations between Variables in Epidemiology
Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-term Behavior Change
Machine Learning Assessing Knee Biomechanical Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-Organizing Maps
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Extracting Surrogate Decision Trees from Black-box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival
Recurrence and Self-Attention vs the Transformer for Time-Series Classification: A Comparative Study
Integrating Graph Convolutional Neural Networks and Long Short-Term Memory for Efficient Diagnosis of Autism
Hierarchical Deep Multi-task learning for Classification of Patient Diagnoses
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Predicting Next Kidney Offer for Transplant Candidate Declining Current One
Wrist Ultrasound Segmentation by Deep Learning
Early Detection and Classification of Patient-Ventilator Asynchrony using Machine Learning
On graph construction for classification of clinical trials protocols using Graph Neural Networks
Medical Image Processing Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction
Calibrating Histopathology Image Classifiers using Label Smoothing
InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound
MRI reconstruction with LassoNet and compressed sensing
Predictive Modeling A 3-window-based framework for the discovery of predictive functional dependencies from clinical data
When can I expect the mHealth user to return? Prediction meets time series with gaps
A novel survival analysis approach to predict the need for intubation in intensive care units
Awareness of being tested and its effect on reading behaviour
Natural Language Processing Generating extremely short summaries from the scientific literature to support decisions in primary healthcare: a human evaluation study
A Russian Medical Language Understanding Benchmark
Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced With Principal Component Reduction and Word Frequency Weighting.