Diether Kramer

30 papers B 1C 1Journal 8Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study. BMC Medical Informatics Decis. Mak. Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Piyush Gajananrao Gampawar, Martin Baumgartner, Lena Delia Lorenzer, Michael Schrempf, Günter Schreier
2024	—	`conf`	Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. dHealth Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer
2023	J	`jnl`	A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich
2023	B	`conf`	Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos
2023	—	`conf`	Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. BIBM Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer
2023	—	`conf`	Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. dHealth Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner
2023	—	`conf`	Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos
2023	—	`conf`	Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. MIE Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz
2022	C	`conf`	A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig
2022	—	`conf`	Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer
2022	—	`conf`	External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine. dHealth Stefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter
2021	J	`jnl`	Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2021	—	`conf`	Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Leodolter, Peter P. Rainer
2021	J	`jnl`	Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2020	—	`conf`	Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. dHealth Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl
2020	J	`jnl`	Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. J. Am. Medical Informatics Assoc. Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2019	J	`jnl`	A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment. BMC Medical Informatics Decis. Mak. Alexander Lassnig, Theresa Rienmüller, Diether Kramer, Werner Leodolter, Christian Baumgartner, Joerg Schroettner
2019	—	`conf`	An Improvised Classification Model for Predicting Delirium. MedInfo Sai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier
2019	—	`conf`	Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. MedInfo Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz
2019	J	`jnl`	EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics Decis. Mak. Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
2019	—	`conf`	Information Adapted Machine Learning Models for Prediction in Clinical Workflow. dHealth Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier, Werner Leodolter
2019	—	`conf`	Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care? dHealth Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier
2018	—	`conf`	Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model. eHealth Stefanie Jauk, Diether Kramer, Werner Leodolter
2018	—	`conf`	EHR Text Categorization for Enhanced Patient-Based Document Navigation. eHealth Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
2018	—	`conf`	Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier
2018	—	`conf`	Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter
2018	—	`conf`	On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care. ICIMTH Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier
2018	J	`jnl`	Predictive analytics for data driven decision support in health and care. it Inf. Technol. Dieter Hayn, Sai Veeranki, Martin Kropf, Alphons Eggerth, Karl Kreiner, Diether Kramer, Günter Schreier
2018	—	`conf`	Problem List Clustering for Improved Patient-Based Disease Perception. ICHI Workshops Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
2017	—	`conf`	Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients. eHealth Diether Kramer, Sai Veeranki, Dieter Hayn, Franz Quehenberger, Werner Leodolter, Christian Jagsch, Günter Schreier