Diether Kramer
According to our database1,
Diether Kramer
authored at least 28 papers
between 2017 and 2023.
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Bibliography
2023
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.
IEEE J. Biomed. Health Informatics, September, 2023
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data.
Proceedings of the dHealth 2023, 2023
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics.
Proceedings of the dHealth 2023, 2023
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Proceedings of the dHealth 2022, 2022
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
Proceedings of the dHealth 2022, 2022
2021
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst., 2021
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst., 2021
Proceedings of the Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021, 2021
2020
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
J. Am. Medical Informatics Assoc., 2020
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020
2019
A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment.
BMC Medical Informatics Decis. Mak., 2019
BMC Medical Informatics Decis. Mak., 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019
2018
it Inf. Technol., 2018
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.
Proceedings of the Data, 2018
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.
Proceedings of the Data, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
2017
Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients.
Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017