Zschech, Patrick

Machine learning and deep learning

Janiesch, C., Zschech, P., & Heinrich, K. (2021) · Electronic Markets

Artificial Intelligence ApplicationsNeural Networks and Applications

Cited by 2,959

Generative AI

Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024) · Business & Information Systems Engineering

Artificial Intelligence ApplicationsInformation Systems Theories and Implementation

Cited by 2,267

Interpretable generalized additive neural networks

Kraus, M., Tschernutter, D., Weinzierl, S., & Zschech, P. (2024) · European Journal of Operational Research

Explainable Artificial Intelligence (XAI)Machine Learning and ELM

Cited by 59

A machine learning framework for interpretable predictions in patient pathways: the case of predicting ICU admission for patients with symptoms of sepsis

Zilker, S., Weinzierl, S., Kraus, M., Zschech, P., & Matzner, M. (2024) · Health Care Management Science

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 29

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions

Bohlen, L., Rosenberger, J., Hambauer, N., Zähringer, D., Franz, V., Zschech, P., & Kraus, M. (2026) · Health Care Management Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0