Werner Leodolter

Graz, Austria

Last Updated: 09/26/2026

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Found 18 publications

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.

Journal: IEEE journal of biomedical and health informatics

Published: June 22, 2023

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.

Journal: Studies in health technology and informatics

Published: May 20, 2022

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.

Journal: Studies in health technology and informatics

Published: May 20, 2022

Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.

Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.

Journal: Dysphagia

Published: March 11, 2022

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.

Journal: Studies in health technology and informatics

Published: May 09, 2021

Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Journal: Journal of medical systems

Published: March 19, 2021

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Journal: Journal of medical systems

Published: December 22, 2020

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.

Journal: Studies in health technology and informatics

Published: June 25, 2020

Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.

Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published: November 05, 2019

Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.

Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.

Journal: Studies in health technology and informatics

Published: August 24, 2019

An Improvised Classification Model for Predicting Delirium.

An Improvised Classification Model for Predicting Delirium.

Journal: Studies in health technology and informatics

Published: August 24, 2019

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Journal: Studies in health technology and informatics

Published: May 24, 2019

Showing 1-12 of 18

Last Updated: 09/26/2026