Project information
Electronic Health Record Analysis using Deep Learning
(Health Record Analysis with Deep Learning)
- Project Identification
- MUNI/IGA/1505/2020
- Project Period
- 1/2021 - 12/2021
- Investor / Pogramme / Project type
-
Masaryk University
- Internal grant agency MU
- MU Faculty or unit
- Faculty of Informatics
The proposed project is the first to automatically analyze large databases of electronic health records (EHRs) in Czech and Polish using deep learning and text data mining. Building on recent advances in natural language processing, it tackles the hybrid code of medical text - a combination of fully formed sentences, Latin words and abbreviations, and numerical values - in order to extract, analyze, and visualize previously unseen medical information. Patient data are anonymized.
Sustainable Development Goals
Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.
Publications
Total number of publications: 1
2021
-
Transferability of General Polish NER to Electronic Health Records
Recent Advances in Slavonic Natural Language Processing (RASLAN 2021), year: 2021