Michael Schrempf

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Matrix Factorization

Decision Support

Machine Learning

Acute Coronary Syndrome

Top Venues

Publications

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)
Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth (2023)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME (2023)
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)
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)
Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai P. K. 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)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS (2022)
Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai P. K. Veeranki, Werner Leodolter, Peter P. Rainer
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth (2021)