Alle Papers – Machine Learning im Gesundheitswesen

AutoLoss: Automated Loss Function Search in Recommendations

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation

A New Algorithm Optimized for Initial Dose Settings of Vancomycin Using Machine Learning

A STUDY OF THE VALIDITY OF THE DIAGNOSIS OF STROKE IN MORTALITY DATA

Putting the “why” in “EHR”: capturing and coding clinical cognition

Gray matter volume drives the brain age gap in schizophrenia: a SHAP study

Archetype relational mapping - a practical openEHR persistence solution

A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data

Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models

Methods, applications, interpretations and challenges of interrupted time series (ITS) data: protocol for a scoping review

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora

Artificial Intelligence in Public Health and Epidemiology

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction

Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome

COVID-19 detection in radiological text reports integrating entity recognition

Applications of Machine Learning in Healthcare

Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions

A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning

A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign

Garbage in, Garbage out—Words of Caution on Big Data and Machine Learning in Medical Practice

Prediction of 1-Year Mortality from Acute Myocardial Infarction Using Machine Learning

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data

Real-world implementation of precision psychiatry: Transdiagnostic risk calculator for the automatic detection of individuals at-risk of psychosis

On the limitations of large language models in clinical diagnosis