Diether Kramer

According to our database1, Diether Kramer authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.
Proceedings of the dHealth 2024, 2024

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

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
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

EHR problem list clustering for improved topic-space navigation.
BMC Medical Informatics Decis. Mak., 2019

An Improvised Classification Model for Predicting Delirium.
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

Information Adapted Machine Learning Models for Prediction in Clinical Workflow.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

2018
Predictive analytics for data driven decision support in health and care.
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

Problem List Clustering for Improved Patient-Based Disease Perception.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018

EHR Text Categorization for Enhanced Patient-Based Document Navigation.
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


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