Stefan Hegselmann
Stefan Hegselmann
Research associate, University of Münster
Verified email at - Homepage
Cited by
Cited by
Large language models are zero-shot clinical information extractors
M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag
arXiv preprint arXiv:2205.12689, 2022
CDEGenerator: an online platform to learn from existing data models to build model registries
J Varghese, M Fujarski, S Hegselmann, P Neuhaus, M Dugas
Clinical epidemiology, 961-970, 2018
Reproducible survival prediction with SEER cancer data
S Hegselmann, L Gruelich, J Varghese, M Dugas
Machine Learning for Healthcare Conference, 49-66, 2018
Large language models are few-shot clinical information extractors
M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Counting in team semantics
E Grädel, S Hegselmann
25th EACSL Annual Conference on Computer Science Logic (CSL 2016), 2016
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions
S Hegselmann, T Volkert, H Ohlenburg, A Gottschalk, M Dugas, C Ertmer
Machine Learning for Healthcare Conference, 46-79, 2020
TabLLM: few-shot classification of tabular data with large language models
S Hegselmann, A Buendia, H Lang, M Agrawal, X Jiang, D Sontag
International Conference on Artificial Intelligence and Statistics, 5549-5581, 2023
A Web Service to Suggest Semantic Codes Based on the MDM-Portal.
S Hegselmann, M Storck, S Geßner, P Neuhaus, J Varghese, M Dugas
GMDS, 35-39, 2018
Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM.
S Hegselmann, S Gessner, P Neuhaus, J Henke, CO Schmidt, M Dugas
eHealth, 88-96, 2017
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse
S Hegselmann, M Storck, S Gessner, P Neuhaus, J Varghese, P Bruland, ...
BMC medical informatics and decision making 21 (1), 1-14, 2021
Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal.
M Dugas, S Hegselmann, S Riepenhausen, P Neuhaus, L Greulich, ...
MedInfo, 113-117, 2019
Automated Transformation of CDISC ODM to OpenClinica.
S Gessner, M Storck, S Hegselmann, M Dugas, IS Rey
GMDS, 95-99, 2017
Inverted HMM-a Proof of Concept
P Doetsch, S Hegselmann, R Schlüter, H Ney
Neural Information Processing Systems Workshop, Barcelona, Spain, 2016
Development and validation of an interpretable 3-day intensive care unit readmission prediction model using explainable boosting machines
S Hegselmann, C Ertmer, T Volkert, A Gottschalk, M Dugas, J Varghese
medRxiv, 2021.11. 01.21265700, 2021
Semantically Annotated Metadata: Interconnecting Samply. MDR and MDM-Portal.
A Vengadeswaran, P Neuhaus, S Hegselmann, H Storf, D Kadioglu
GMDS, 86-92, 2019
Portal of Medical Data Models: Status 2018.
S Riepenhausen, J Varghese, P Neuhaus, M Storck, A Meidt, ...
EFMI-STC, 239-240, 2019
Standardising the development of ODM converters: the ODMToolBox
I Soto-Rey, P Neuhaus, P Bruland, S Geßner, J Varghese, S Hegselmann, ...
Stud Health Technol Inform 247, 231-235, 2018
An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study
L Greulich, S Hegselmann, M Dugas
JMIR Medical Informatics 9 (11), e29176, 2021
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ..., 2023
Machine Learning for Health (ML4H) 2022
A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ...
Machine Learning for Health, 1-11, 2022
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