Alle Papers – Machine Learning im Gesundheitswesen

Machine Learning Approach for Diabetes Detection Using Fine-Tuned XGBoost Algorithm

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

Artificial intelligence in cardiovascular medicine

EHR foundation models improve robustness in the presence of temporal distribution shift

The reproducibility issues that haunt health-care AI

Improving the use of LLMs in radiology through prompt engineering: from precision prompts to zero-shot learning

icuARM-An ICU Clinical Decision Support System Using Association Rule Mining

Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: An Emerging Approach for Disease Detection and Treatment Optimization

Identifying risk of opioid use disorder for patients taking opioid medications with deep learning

Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data

Development of an electronic health records datamart to support clinical and population health research

Patient representation learning and interpretable evaluation using clinical notes

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review

Named Entity Recognition in Electronic Health Records: A Methodological Review

Strategizing EHR use to achieve patient-centered care in exam rooms: a qualitative study on primary care providers

Framework for Integrating Equity Into Machine Learning Models

Machine‐learning‐based approach for predicting response to anti‐calcitonin gene‐related peptide (<scp>CGRP)</scp> receptor or ligand antibody treatment in patients with migraine: A multicenter Spanish study

Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer’s Dementia

Mortality prediction based on imbalanced high-dimensional ICU big data

Mathematical Models of Patterns of Seizures

Exploiting big data for critical care research

Big Data and Predictive Analytics in Health Care

How artificial intelligence could transform emergency care

The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies