Stefan Hegselmann

According to our database, Stefan Hegselmann authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models.

Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang

CoRR, 2024

2023

Machine Learning for Health symposium 2023 - Findings track.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh

CoRR, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

TabLLM: Few-shot Classification of Tabular Data with Large Language Models.

Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Large Language Models are Zero-Shot Clinical Information Extractors.

Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag

CoRR, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022

Large language models are few-shot clinical information extractors.

Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.

Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas

BMC Medical Informatics Decis. Mak., 2021

Portal of Medical Data Models: Stakeholder Feedback and Requirements.

Alexandra Meidt, Sarah Riepenhausen, Philipp Neuhaus, Stefan Hegselmann, Ahmed Rafee, Julian Varghese, Martin Dugas

Proceedings of the Public Health and Informatics, 2021

2020

An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions.

Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg, Antje Gottschalk, Martin Dugas, Christian Ertmer

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal.

Martin Dugas, Stefan Hegselmann, Sarah Riepenhausen, Philipp Neuhaus, Leonard Greulich, Alexandra Meidt, Julian Varghese

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Semantically Annotated Metadata: Interconnecting Samply.MDR and MDM-Portal.

Abishaa Vengadeswaran, Philipp Neuhaus, Stefan Hegselmann, Holger Storf, Dennis Kadioglu

Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019

Portal of Medical Data Models: Status 2018.

Sarah Riepenhausen, Julian Varghese, Philipp Neuhaus, Michael Storck, Alexandra Meidt, Stefan Hegselmann, Martin Dugas

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

2018

Reproducible Survival Prediction with SEER Cancer Data.

Stefan Hegselmann, Leonard Greulich, Julian Varghese, Martin Dugas

Proceedings of the Machine Learning for Healthcare Conference, 2018

Standardising the Development of ODM Converters: The ODMToolBox.

Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

A Web Service to Suggest Semantic Codes Based on the MDM-Portal.

Stefan Hegselmann, Michael Storck, Sophia Geßner, Philipp Neuhaus, Julian Varghese, Martin Dugas

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

2017

Automated Transformation of CDISC ODM to OpenClinica.

Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey

Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017

Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM.

Stefan Hegselmann, Sophia Gessner, Philipp Neuhaus, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas

Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017

2016

Counting in Team Semantics.

Erich Grädel, Stefan Hegselmann

Proceedings of the 25th EACSL Annual Conference on Computer Science Logic, 2016