Diether Kramer

发表

Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models

Stefan Schulz, Stefanie Jauk, Diether Kramer, 2018, ICIMTH.

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

Stefan Schulz, Stefanie Jauk, Diether Kramer, 2020, J. Am. Medical Informatics Assoc..

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning

Stefanie Jauk, Diether Kramer, Werner Leodolter, 2020, dHealth.

Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients

Günter Schreier, Dieter Hayn, Stefanie Jauk, 2018, eHealth.

EHR problem list clustering for improved topic-space navigation

Stefan Schulz, Markus Kreuzthaler, Diether Kramer, 2019, BMC Medical Informatics and Decision Making.

EHR Text Categorization for Enhanced Patient-Based Document Navigation

Stefan Schulz, Markus Kreuzthaler, Diether Kramer, 2018, eHealth.

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

Günter Schreier, Dieter Hayn, Alphons Eggerth, 2019, dHealth.

Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model

Stefanie Jauk, Diether Kramer, Werner Leodolter, 2018, eHealth.

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

Stefan Schulz, Stefanie Jauk, Diether Kramer, 2019, MedInfo.

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care

Günter Schreier, Dieter Hayn, Alphons Eggerth, 2018, ICIMTH.

Information Adapted Machine Learning Models for Prediction in Clinical Workflow

Günter Schreier, Dieter Hayn, Stefanie Jauk, 2019, dHealth.

An Improvised Classification Model for Predicting Delirium

Günter Schreier, Dieter Hayn, Stefanie Jauk, 2019, MedInfo.

A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment

Theresa Margarethe Rienmüller, Christian Baumgartner, Diether Kramer, 2019, BMC Medical Informatics and Decision Making.

Predictive analytics for data driven decision support in health and care

Günter Schreier, Dieter Hayn, Martin Kropf, 2018, it Inf. Technol..

Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients

Günter Schreier, Dieter Hayn, Diether Kramer, 2017, eHealth.

Problem List Clustering for Improved Patient-Based Disease Perception

Stefan Schulz, Markus Kreuzthaler, Diether Kramer, 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).

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

Stefanie Jauk, Diether Kramer, Werner Leodolter, 2021, Journal of Medical Systems.

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

Stefanie Jauk, Diether Kramer, Werner Leodolter, 2021, Journal of Medical Systems.