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2020 – today
- 2024
[c8]Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer:
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. dHealth 2024: 156-157- 2023
- [c7]Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos
:
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME 2023: 114-119 - [c6]Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer:
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. BIBM 2023: 2983-2989 - [c5]Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos:
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth 2023: 20-25 - [c4]Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner:
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. dHealth 2023: 212-219 - 2022
- [c3]Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer:
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth 2022: 262-269 - [c2]Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig:
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS 2022: 467-476 - 2021
- [c1]Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Leodolter, Peter P. Rainer:
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth 2021: 136-143
Coauthor Index
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