Transfer-Lernen für die Klassifikation medizinischer Texte
Bruneß, D. et al. (2025). Transfer-Lernen für die Klassifikation medizinischer Texte.
CV
Education
- B.Sc. Bioinformatik, Goethe Universität, 2011 – 2015
Bioinformatic Analysis of Protein Structure Complexes Using Graph-theoretical Methods - M.Sc. Bioinformatik, Goethe Universität, 2015 – 2017
Bioinformatic Network Analysis and Comparison of the Ubiquitinome and Phosphoproteome of Salmonella-infected Cells - Ph.D. Informatik, Goethe Universität, 2019 – 2026 (expected)
Ontology-based Transfer Learning
Certifications
- EF Standardized English Test: C2 Proficient (EFSET 75/100), 2017
- CITI Program: Data or Specimens Only Research, 2022
Work Experience
- 01/2024 (ongoing) Freelance Software Developer
- Custom software development and scientific research
- 11/2023 (ongoing) Transfer Officer @ hessian.AI, Technische Hochschule Mittelhessen, Friedberg
- Bridging the gap between academia and industry
- Consulting, knowledge exchange, and coordination of research projects
- Writing research proposals
- Lecturing at THM
- 11/2019 (ongoing) Research Assistant, Technische Hochschule Mittelhessen, Friedberg
- Supervision of students for Bachelor’s and Master’s theses
- Supervision of students during internships
- Planning and implementation of the “Applied Natural Language Processing” module
- Coordination of the LOEWE3 project “Transfer Learning for Medical Diagnosis (TLDia)”
- Research and development in LOEWE3 project
- 10/2017 – 11/2019 Developer, 2VizCon GmbH, Frankfurt am Main
- Web-based app front-end development in JS and HTML
- Design and development of various backend solutions in PHP in conjunction with MySQL, Neo4j and CouchDB databases
- Design and development of interfaces between customer applications and external APIs (Salesforce, SAP)
- Processing and analysing customer-specific data
- Further development of the company’s own infrastructure
- Linux server administration and log file analysis
- Support in project management
- Coordination of working students
- Training of customers
- 05/2016 – 10/2017 Working Student, 2VizCon GmbH, Neu-Isenburg
- Web-based app front-end development
- Maintenance and further development of various backend solutions
- Maintenance of app content and texts
- 2012 – 2016 SEO & Data Typist, HolzLand Becker GmbH & Co. KG, Offenbach
Languages
- German (native)
- English (professional / C2)
Research Projects
-
2025 (ongoing) InNa – Intelligente Nabelklemme
Non-invasive wireless monitoring of neonatal vital signs via smart umbilical clamp with AI-based edge computing
Funded by Hessisches Ministerium für Digitalisierung und Innovation (Distr@l) -
2026 (ongoing) RareNavigator
AI-based matchmaking and navigation tool for stakeholders of rare diseases
Funded by BMWK (Innovationsprogramm für Geschäftsmodelle und Pionierlösungen) -
2026 (ongoing) FörderKompass
AI-based matching and application support for SMEs, impact companies and consultants to increase funding utilization
Funded by BMWK (Innovationsprogramm für Geschäftsmodelle und Pionierlösungen) -
2019 – 2023 Transfer Learning for Medical Diagnosis (TLDia)
LOEWE3 project
Publications
-
A Hybrid AI-Based Method for ICD Classification of Medical Documents
Bruneß, D., Bay, M., Schulze, C., Guckert, M., & Minor, M. (2023). A Hybrid AI-Based Method for ICD Classification of Medical Documents. Healthcare Transformation with Informatics and Artificial Intelligence, 305, 1-4..
-
An Ontology-based transfer learning method improving classification of medical documents.
Bruneß, D., Bay, M., Schulze, C., Guckert, M., & Minor, M. (2022). An Ontology-based transfer learning method improving classification of medical documents. 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 407-412.
-
Term Extraction from Medical Documents Using Word Embeddings
Bay, M., Bruneß, D., Herold, M., Schulze, C., Guckert, M., & Minor, M. (2020). Term Extraction from Medical Documents Using Word Embeddings. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 328-333.
-
Interacting Spider Webs
Rieser, J., Bruneß, D., Ackermann, J., Koch, I. (2020). Interacting Spider Webs. In: Matthäus, F., Matthäus, S., Harris, S., Hillen, T. (eds) The Art of Theoretical Biology. Springer
-
The new protein topology graph library web server
Schäfer, T., Scheck, A., Bruneß, D., May, P., & Koch, I. (2016). The new protein topology graph library web server. Bioinformatics, 32 3, 474-6 .
Talks
-
A Hybrid AI-based Method for ICD Classification of Medical Documents
Conference Talk at ICIMTH '23 — 21st International Conference on Informatics, Management, and Technology in Healthcare, Athens, Greece