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Stefan Schulz 0001
Person information
- affiliation: Medical University of Graz, Austria
- affiliation (former): Freiburg University Hospital, Department of Medical Informatics, Germany
- affiliation (former): Freiburg University, Computational Linguistics Lab, Germany
- affiliation (PhD 1990): Heidelberg University, Germany
Other persons with the same name
- Stefan Schulz — disambiguation page
- Stefan Repke (aka: Stefan Schulz 0002) — RWTH Aachen University, Germany
- Stefan Schulz 0003 — Karlsruhe Institute of Technology, Institute of Applied Computer Science, Germany
- Stefan Schulz 0004 — e-Spirit AG
- Stefan Schulz 0005 — Hamburg University of Technology, Workgroup on System Technologies and Engineering Design Methodology, Germany
- Stefan Schulz 0006 — University of Marburg, Philipps-Universität Marburg, Department of Mathematics and Computer Science, Germany
- Stefan Schulz 0007 — University of Bonn, Department of Computer Science IV, Germany
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2020 – today
- 2024
- [j51]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Disambiguation of acronyms in clinical narratives with large language models. J. Am. Medical Informatics Assoc. 31(9): 2040-2046 (2024) - [j50]Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler:
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. BMC Medical Informatics Decis. Mak. 24(1): 29 (2024) - [c216]Amila Kugic, Akhila Abdulnazar, Anto Knezovic, Stefan Schulz, Markus Kreuzthaler:
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. AIME (1) 2024: 182-191 - [c215]Vishakha Sharma, Andreas Thalhammer, Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Sequence-Model-Based Medication Extraction from Clinical Narratives in German. AIME (1) 2024: 334-344 - 2023
- [j49]Stefan Schulz, James T. Case, Peter Hendler, Daniel Karlsson, Michael Lawley, Ronald Cornet, Robert R. Hausam, Harold Solbrig, Karim Nashar, Catalina Martínez-Costa, Yongsheng Gao:
SNOMED CT and Basic Formal Ontology - convergence or contradiction between standards? The case of "clinical finding". Appl. Ontology 18(3): 207-237 (2023) - [j48]Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler:
Embedding-based terminology expansion via secondary use of large clinical real-world datasets. J. Biomed. Informatics 147: 104497 (2023) - [c214]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Identification of Non-Lexical Content in Croatian Health Forum Entries. BIBM 2023: 4328-4335 - [c213]Amila Kugic, Markus Kreuzthaler, Stefan Schulz:
Clinical Acronym Disambiguation via ChatGPT and BING. EFMI-STC 2023: 78-82 - [c212]Stefan Schulz, Warren Del-Pinto, Lifeng Han, Markus Kreuzthaler, Sareh Aghaei Dinani, Goran Nenadic:
Towards Principles of Ontology-Based Annotation of Clinical Narratives. ICBO 2023: 36-47 - [c211]Jean Noël Nikiema, Fleur Mougin, Vianney Jouhet, Stefan Schulz:
KOSonto: an Ontology for Knowledge Organization Systems, Their Constituents, and Their Referents. ICBO 2023: 130-141 - [c210]Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz:
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. MIE 2023: 788-792 - [c209]Akhila Abdulnazar, Markus Kreuzthaler, Roland Roller, Stefan Schulz:
SapBERT-Based Medical Concept Normalization Using SNOMED CT. MIE 2023: 825-826 - [c208]Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler:
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD. MIE 2023: 827-828 - [c207]Stefan Schulz, Akhila Abdulnazar, Markus Kreuzthaler:
Clustering Similar Diagnosis Terms. MIE 2023: 837-838 - 2022
- [c206]Luise Modersohn, Stefan Schulz, Christina Lohr, Udo Hahn:
GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus. GMDS 2022: 66-72 - [c205]Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz:
Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets. ICHI 2022: 1-2 - [c204]Amila Kugic, Leon Magnus Pojian, Larissa Marije Hammer, Stefan Schulz, Markus Kreuzthaler:
Alcohol Status Standardization from Clinical Real World Data with Transformer Architectures. ICHI 2022: 233-238 - [c203]Mohamed Khaled, Mahdi Sareban, Markus Kreuzthaler, Stefan Schulz, Rada Hussein:
Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps. ICIMTH 2022: 49-50 - [c202]Stefan Schulz, Martin Boeker, Andrea Prunotto:
Validation of Multiple Path Translation for SNOMED CT Localisation. MIE 2022: 961-962 - 2021
- [j47]Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 48 (2021) - [j46]Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 52 (2021) - [j45]Pilar López-Úbeda, Alexandra Pomares Quimbaya, Manuel Carlos Díaz-Galiano, Stefan Schulz:
Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish. BMC Medical Informatics Decis. Mak. 21(1): 145 (2021) - [c201]Raphael Scheible, Deniz Çaliskan, Patrick Fischer, Fabian Thomczyk, Susanne Zabka, Henning Schneider, Martin Boeker, Stefan Schulz, Hans-Ulrich Prokosch, Christian Gulden:
AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report. MedInfo 2021: 32-36 - [c200]Andrea Prunotto, Stefan Schulz, Martin Boeker:
Automatic Generation of German Translation Candidates for SNOMED CT Textual Descriptions. MIE 2021: 178-182 - [c199]Alexandra Pomares Quimbaya, Pilar López-Úbeda, Stefan Schulz:
Transfer Learning for Classifying Spanish and English Text by Clinical Specialties. MIE 2021: 377-381 - [i2]Markus Kreuzthaler, Stefan Schulz:
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. CoRR abs/2112.13756 (2021) - 2020
- [j44]Susanne Zabka, Stefan Schulz, Oliver Brunner, Martin Boeker:
How versioning of terminology systems can be supported by ontological models - a case study on TNM tumor classification. Appl. Ontology 15(1): 41-60 (2020) - [j43]Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. J. Am. Medical Informatics Assoc. 27(9): 1383-1392 (2020) - [c198]Deniz Çaliskan, Jakob Zierk, Detlef Kraska, Stefan Schulz, Philipp Daumke, Hans-Ulrich Prokosch, Lorenz A. Kapsner:
First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters. GMDS 2020: 224-230 - [c197]Stefan Schulz, Larissa Hammer, David Hashemian Nik, Markus Kreuzthaler:
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary. MultiligualBIO@LREC 2020: 15-20 - [c196]Markus Kreuzthaler, Michel Oleynik, Stefan Schulz:
Character-Level Neural Language Modelling in the Clinical Domain. MIE 2020: 83-87 - [c195]Alexandra Pomares Quimbaya, Pilar López-Úbeda, Michel Oleynik, Stefan Schulz:
Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution. MIE 2020: 292-296 - [c194]Gustavo A. Uribe, Bernd Blobel, Diego M. Lopez, Stefan Schulz, Alonso A. Ruiz:
Ontology-Based and Architecture-Based Method for the Development of Interoperable Care Systems for Type 2 Diabetes Mellitus. MIE 2020: 352-356
2010 – 2019
- 2019
- [j42]José Antonio Miñarro-Giménez, Ronald Cornet, Marie-Christine Jaulent, Heike Dewenter, Sylvia Thun, Kirstine Rosenbeck Gøeg, Daniel Karlsson, Stefan Schulz:
Quantitative analysis of manual annotation of clinical text samples. Int. J. Medical Informatics 123: 37-48 (2019) - [j41]Alan L. Rector, Stefan Schulz, Jean Marie Rodrigues, Christopher G. Chute, Harold Solbrig:
On beyond Gruber: "Ontologies" in today's biomedical information systems and the limits of OWL. J. Biomed. Informatics X 2: 100002 (2019) - [j40]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics Decis. Mak. 19-S(3): 107-114 (2019) - [c193]José Antonio Vera Ramos, Markus Kreuzthaler, Stefan Schulz:
Supervised ICD Code Assignment to Short Clinical Problem List Entries. EFMI-STC 2019: 184-188 - [c192]Stefan Schulz, Johannes Steffel, Peter Polster, Matvey B. Palchuk, Philipp Daumke:
Aligning an Administrative Procedure Coding System with SNOMED CT. JOWO 2019 - [c191]Janna Hastings, Stefan Schulz:
Representing Literary Characters and their Attributes in an Ontology. JOWO 2019 - [c190]Johannes Herrmann, Susanne Zabka, Martin Boeker, Stefan Schulz:
Ontology Patterns for Tubular or Spherical Layered Structures. A Case Study from Oncology. JOWO 2019 - [c189]Catalina Martínez-Costa, José Antonio Miñarro-Giménez, Robert R. Hausam, Stefan Schulz:
Addressing the Negation Gap in SNOMED CT by Reified Negated Concepts. JOWO 2019 - [c188]José Antonio Vera-Ramos, Belén Juanes-Cortés, Jesualdo Tomás Fernández-Breis, Pascale Gaudet, Martin Kuiper, Astrid Lægreid, Colin Logie, María del Mar Roldán García, Stefan Schulz:
An Example of Multimodal Biological Knowledge Representation. JOWO 2019 - [c187]Philipp Daumke, Kai U. Heitmann, Simone Heckmann, Catalina Martínez-Costa, Stefan Schulz:
Clinical Text Mining on FHIR. MedInfo 2019: 83-87 - [c186]David Hashemian Nik, Zdenko Kasác, Zsófia Goda, Anita Semlitsch, Stefan Schulz:
Building an Experimental German User Interface Terminology Linked to SNOMED CT. MedInfo 2019: 153-157 - [c185]Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz:
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. MedInfo 2019: 173-177 - 2018
- [c184]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
EHR Text Categorization for Enhanced Patient-Based Document Navigation. eHealth 2018: 100-107 - [c183]Stefan Schulz, Ludger Jansen:
Towards an Ontology of Religious and Spiritual Belief. FOIS 2018: 253-260 - [c182]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
Problem List Clustering for Improved Patient-Based Disease Perception. ICHI Workshops 2018: 88-89 - [c181]Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter:
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH 2018: 249-252 - [c180]Stefan Schulz:
The Role of Foundational Ontologies for Preventing Bad Ontology Design. JOWO 2018 - [c179]José Antonio Miñarro-Giménez, Stefan Schulz:
Analysis of MeSH Indexing Patterns and Frequency of Predicates. MIE 2018: 666-670 - [c178]Jean Marie Rodrigues, Stefan Schulz, Bassim Mizen, Béatrice Trombert, Alan L. Rector:
Scrutinizing SNOMED CT's Ability to Reconcile Clinical Language Ambiguities with an Ontology Representation. MIE 2018: 910-914 - 2017
- [j39]Filipe Santana da Silva, Ludger Jansen, Fred Freitas, Stefan Schulz:
Ontological interpretation of biomedical database content. J. Biomed. Semant. 8(1): 24:1-24:14 (2017) - [j38]Catalina Martínez-Costa, Stefan Schulz:
Validating EHR clinical models using ontology patterns. J. Biomed. Informatics 76: 124-137 (2017) - [c177]Mélissa Mary, Lina Fatima Soualmia, Xavier Gansel, Stéfan Jacques Darmoni, Daniel Karlsson, Stefan Schulz:
Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption. AIME 2017: 14-23 - [c176]Jean Marie Rodrigues, Stefan Schulz, Bassim Mizen, Alan L. Rector, sofyane Serir:
Is the Application of SNOMED CT Concept Model sufficiently Quality Assured? AMIA 2017 - [c175]Markus Kreuzthaler, Catalina Martínez-Costa, Peter Kaiser, Stefan Schulz:
Semantic Technologies for Re-Use of Clinical Routine Data. eHealth 2017: 24-31 - [c174]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector:
Scrutinizing the Axiomatic Basis of SNOMED CT: How Confused is it by the Ambiguous Terminology Paradigm? ICBO 2017 - [c173]Zdenko Kasác, Catalina Martínez-Costa, Markus Kreuzthaler, Stefan Schulz:
Basics of a Drug Ontology for Annotations of Clinical Narratives. JOWO 2017 - [c172]Stefan Schulz, Martin Boeker, José Antonio Vera Ramos, Ludger Jansen:
Pizza & Wine: The Need for Educational Tools for Foundational Ontologies. JOWO 2017 - [c171]Stefan Schulz, Catalina Martínez-Costa, José Antonio Miñarro-Giménez:
Lexical Ambiguity in SNOMED CT. JOWO 2017 - [c170]Susanne Zabka, Stefan Schulz, Oliver Brunner, Martin Boeker:
TNM-O: A Modular Ontological Approach for the Representation of Tumour Entities across TNM Versions. JOWO 2017 - [c169]Zdenko Kasác, Stefan Schulz:
Analysis of Historical Medical Phenomena Using Large N-Gram Corpora. MedInfo 2017: 437-441 - [c168]Michel Oleynik, Markus Kreuzthaler, Stefan Schulz:
Unsupervised Abbreviation Expansion in Clinical Narratives. MedInfo 2017: 539-543 - [c167]Stefan Schulz, Jean Marie Rodrigues, Alan L. Rector, Christopher G. Chute:
Interface Terminologies, Reference Terminologies and Aggregation Terminologies: A Strategy for Better Integration. MedInfo 2017: 940-944 - [c166]Mercedes Argüello Casteleiro, Catalina Martínez-Costa, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Chris Wroe, Diego Maseda-Fernandez, George Demetriou, Goran Nenadic, John A. Keane, Stefan Schulz, Robert Stevens:
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. SWAT4LS 2017 - [c165]Pablo López-García, Michel Oleynik, Zdenko Kasác, Stefan Schulz:
TREC 2017 Precision Medicine - Medical University of Graz. TREC 2017 - 2016
- [j37]Pablo López-García, Stefan Schulz:
Can SNOMED CT be squeezed without losing its shape? J. Biomed. Semant. 7: 56 (2016) - [j36]Martin Boeker, Fábio França, Peter Bronsert, Stefan Schulz:
TNM-O: ontology support for staging of malignant tumours. J. Biomed. Semant. 7: 64:1-64:11 (2016) - [c164]Markus Kreuzthaler, Michel Oleynik, Alexander Avian, Stefan Schulz:
Unsupervised Abbreviation Detection in Clinical Narratives. ClinicalNLP@COLING 2016 2016: 91-98 - [c163]Jean Marie Rodrigues, Neelam Dhingra-Kumar, Stefan Schulz, Julien Souvignet:
A Patient Safety Information Model for Interoperability. eHealth 2016: 77-84 - [c162]Pablo López-García, Markus Kreuzthaler, Stefan Schulz, Daniel Scherr, Philipp Daumke, Kornél G. Markó, Jan A. Kors, Erik M. van Mulligen, Xinkai Wang, Hanney Gonna, Elijah Behr, Angel Honrado:
SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data. eHealth 2016: 93-99 - [c161]Marzouk Mamou, Alan L. Rector, Stefan Schulz, James R. Campbell, Harold Solbrig, Jean Marie Rodrigues:
ICD-11 (JLMMS) and SCT Inter-Operation. eHealth 2016: 267-272 - [c160]Marzouk Mamou, Alan L. Rector, Stefan Schulz, James R. Campbell, Harold R. Solbrig, Jean Marie Rodrigues:
Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms. MIE 2016: 431-435 - [c159]Markus Kreuzthaler, José Antonio Miñarro-Giménez, Stefan Schulz:
MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH. MIE 2016: 582-586 - [c158]José Antonio Miñarro-Giménez, Manuel Quesada-Martínez, Jesualdo Tomás Fernández-Breis, Stefan Schulz:
Publishing Biomedical Predication Repository About MeSH Co-Occurrences in MEDLINE. MIE 2016: 765-769 - [c157]Luis Fernández-Luque, Vivian Vimarlund, Elizabeth M. Borycki, Stefan Schulz, Craig E. Kuziemsky, Michael Marschollek, Casimir A. Kulikowski:
Social Media as Catalyzer for Connected Health: Hype or Hope? Perspectives from IMIA Working Groups. Nursing Informatics 2016: 602-604 - [c156]José Antonio Miñarro-Giménez, Catalina Martínez-Costa, Stefan Schulz:
Qualitative assessment of annotations using SNOMED CT. ODLS 2016: 1-2 - [c155]Filipe Santana, Ludger Jansen, Fred Freitas, Stefan Schulz:
Ontological interpretation of biomedical database annotations. ODLS 2016: 1-2 - 2015
- [j35]Catalina Martínez-Costa, Ronald Cornet, Daniel Karlsson, Stefan Schulz, Dipak Kalra:
Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case. J. Am. Medical Informatics Assoc. 22(3): 565-576 (2015) - [j34]Markus Kreuzthaler, Stefan Schulz, Andrea Berghold:
Secondary use of electronic health records for building cohort studies through top-down information extraction. J. Biomed. Informatics 53: 188-195 (2015) - [j33]Markus Kreuzthaler, Stefan Schulz:
Detection of sentence boundaries and abbreviations in clinical narratives. BMC Medical Informatics Decis. Mak. 15-S(S-2): S4 (2015) - [c154]Philipp Daumke, Claudia Riede, Thomas Fassbender, Angel Honrado, Markus Kreuzthaler, Pablo López-García, Stefan Schulz, Erik M. van Mulligen, Herman van Haagen, Jan A. Kors, Hanney Gonna, Xinkai Wang, Elijah Behr:
SEMCARE - Semantic Data Platform for Healthcare. AMIA 2015 - [c153]Johannes Hellrich, Stefan Schulz, Sven Buechel, Udo Hahn:
JUFIT: A Configurable Rule Engine for Filtering and Generating New Multilingual UMLS Terms. AMIA 2015 - [c152]José Antonio Miñarro-Giménez, Markus Kreuzthaler, Stefan Schulz:
Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing. AMIA 2015 - [c151]Markus Kreuzthaler, Philipp Daumke, Stefan Schulz:
Semantic Retrieval and Navigation in Clinical Document Collections. eHealth 2015: 9-14 - [c150]Hans-Ulrich Krieger, Stefan Schulz:
A Modal Representation of Graded Medical Statements. FG 2015: 130-146 - [c149]Martin Boeker, Fábio França, Peter Bronsert, Stefan Schulz:
TNM-O an ontology for the Tumor-Node-Metastasis classification of malignant tumors: a study on rectal cancer. ICBO 2015 - [c148]Edward Cheetham, Yongsheng Gao, Bruce Goldberg, Robert R. Hausam, Stefan Schulz:
Formal representation of disorder associations in SNOMED CT. ICBO 2015 - [c147]Pablo López-García, Stefan Schulz:
Can SNOMED CT be squeezed without losing its shape? ICBO 2015 - [c146]Fábio França, Stefan Schulz, Peter Bronsert, Paulo Novais, Martin Boeker:
Feasibility of an ontology driven tumor-node-metastasis classifier application: A study on colorectal cancer. INISTA 2015: 1-7 - [c145]José Antonio Miñarro-Giménez, Markus Kreuzthaler, Johannes Bernhardt-Melischnig, Catalina Martínez-Costa, Stefan Schulz:
Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations. MedInfo 2015: 716-720 - [c144]Jean Marie Rodrigues, David J. Robinson, Vincenzo Della Mea, James R. Campbell, Alan L. Rector, Stefan Schulz, Hazel Brear, Bedirhan Üstün, Kent A. Spackman, Christopher G. Chute, Jane Millar, Harold R. Solbrig, Kristina Brand Persson:
Semantic Alignment between ICD-11 and SNOMED CT. MedInfo 2015: 790-794 - [c143]Stefan Schulz, Catalina Martínez-Costa:
Harmonizing SNOMED CT with BioTopLite: An Exercise in Principled Ontology Alignment. MedInfo 2015: 832-836 - [c142]Filipe Santana, Stefan Schulz, Amadeu Campos, Magdala A. Novaes:
Towards a Formal Representation of Processes and Objects Regarding the Delivery of Telehealth Services: The Telehealth Ontology (TEON). MedInfo 2015: 1108 - [c141]Jean Marie Rodrigues, Stefan Schulz, Julien Souvignet:
Integrated care: an Information Model for Patient Safety and Vigilance Reporting Systems. MIE 2015: 434-438 - [c140]José Antonio Miñarro-Giménez, Johannes Hellrich, Stefan Schulz:
Acquisition of Character Translation Rules for Supporting SNOMED CT Localizations. MIE 2015: 597-601 - [c139]Catalina Martínez-Costa, Stephen Kay, Nicholas Oughtibridge, Stefan Schulz:
ContSys under Ontological Scrutiny. MIE 2015: 999 - [c138]Gustavo A. Uribe, Bernd Blobel, Diego M. López, Stefan Schulz:
A Generic Architecture for an Adaptive, Interoperable and Intelligent Type 2 Diabetes Mellitus Care System. pHealth 2015: 121-131 - 2014
- [j32]Michael Braun, Alexander Ulrich Brandt, Stefan Schulz, Martin Boeker:
Validating archetypes for the Multiple Sclerosis Functional Composite. BMC Medical Informatics Decis. Mak. 14: 64 (2014) - [j31]Ward Blondé, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, Bernard De Baets:
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. Semantic Web 5(2): 115-126 (2014) - [c137]Markus Kreuzthaler, Stefan Schulz:
Disambiguation of Period Characters in Clinical Narratives. Louhi@EACL 2014: 96-100 - [c136]Catalina Martínez-Costa, María Del Carmen Legaz-García, Stefan Schulz, Jesualdo Tomás Fernández-Breis:
Ontology-based infrastructure for a meaningful EHR representation and use. BHI 2014: 535-538 - [c135]Catalina Martínez-Costa, Stefan Schulz:
Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information. eHealth 2014: 247 - [c134]Stefan Schulz, Catalina Martínez-Costa, Daniel Karlsson, Ronald Cornet, Mathias Brochhausen, Alan L. Rector:
An Ontological Analysis of Reference in Health Record Statements. FOIS 2014: 289-302 - [c133]Vincenzo Della Mea, Omar Vuattolo, Bedirhan Üstün, Alan L. Rector, Stefan Schulz, Jean Marie Rodrigues, Kent A. Spackman, David J. Robinson, Jane Millar, James R. Campbell, Christopher G. Chute, Harold R. Solbrig, Kristina Brand Persson:
A Web-Based Tool for Development of a Common Ontology between ICD11 and SNOMED-CT. ICHI 2014: 144-148 - [c132]Catalina Martínez-Costa, Dipak Kalra, Stefan Schulz:
Improving EHR Semantic Interoperability: Future Vision and Challenges. MIE 2014: 589-593 - [c131]María Del Carmen Legaz-García, Catalina Martínez-Costa, José Antonio Miñarro-Giménez, Jesualdo Tomás Fernández-Breis, Stefan Schulz, Marcos Menárguez Tortosa:
Ontology patterns-based transformation of clinical information. MIE 2014: 1018-1022 - [c130]Stefan Schulz, Jean Marie Rodrigues, Alan L. Rector, Kent A. Spackman, James R. Campbell, Bedirhan Üstün, Christopher G. Chute, Harold R. Solbrig, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson:
What's in a Class? Lessons Learnt from the ICD - SNOMED CT Harmonisation. MIE 2014: 1038-1042 - [c129]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector, Kent A. Spackman, Jane Millar, James R. Campbell, Bedirhan Üstün, Christopher G. Chute, Harold R. Solbrig, Vincenzo Della Mea, Kristina Brand Persson:
ICD-11 and SNOMED CT Common Ontology: Circulatory System. MIE 2014: 1043-1047 - [c128]José Antonio Miñarro-Giménez, Catalina Martínez-Costa, Stefan Schulz:
Using concept co-occurrences for a biomedical facts acquisition. MIE 2014: 1200 - [c127]Catalina Martínez-Costa, Daniel Karlsson, Stefan Schulz:
Ontology Patterns for Clinical Information Modelling. WOP 2014: 61-72 - [c126]