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Stefan Hegselmann
Stefan Hegselmann
Research associate, University of Münster
Verified email at uni-muenster.de - Homepage
Title
Cited by
Cited by
Year
Large language models are few-shot clinical information extractors
M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag
arXiv preprint arXiv:2205.12689, 2022
1972022
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
1042023
Reproducible survival prediction with SEER cancer data
S Hegselmann, L Gruelich, J Varghese, M Dugas
Machine Learning for Healthcare Conference, 49-66, 2018
182018
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
182018
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
142020
Counting in team semantics
E Grädel, S Hegselmann
25th EACSL Annual Conference on Computer Science Logic (CSL 2016), 2016
102016
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), 160, 2021
82021
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
Frontiers in Medicine 9, 960296, 2022
72022
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
72018
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
62019
Automated Transformation of CDISC ODM to OpenClinica.
S Gessner, M Storck, S Hegselmann, M Dugas, IS Rey
GMDS, 95-99, 2017
62017
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
52021
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
52017
Inverted HMM-a Proof of Concept
P Doetsch, S Hegselmann, R Schlüter, H Ney
Neural Information Processing Systems Workshop, Barcelona, Spain, 2016
42016
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
32018
Semantically Annotated Metadata: Interconnecting Samply. MDR and MDM-Portal.
A Vengadeswaran, P Neuhaus, S Hegselmann, H Storf, D Kadioglu
GMDS, 86-92, 2019
22019
Portal of Medical Data Models: Status 2018.
S Riepenhausen, J Varghese, P Neuhaus, M Storck, A Meidt, ...
EFMI-STC, 239-240, 2019
22019
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
12022
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
S Hegselmann, SZ Shen, F Gierse, M Agrawal, D Sontag, X Jiang
https://arxiv.org/abs/2402.15422, 2024
2024
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
2023
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