Improving the quality of Persian clinical text with a novel spelling correction system
Despite certain limitations, our method represents a substantial advancement in the field of spelling error detection and correction for Persian clinical text. By effectively addressing the unique challenges posed by the Persian language, our approach paves the way for more accurate and efficient clinical documentation, contributing to improved patient care and safety. Future research could explore its use in other areas of the Persian medical domain, enhancing its impact and utility.
Authors
- Seyed Mohammad Sadegh Dashti (ORCID: https://orcid.org/0000-0002-5964-7453)
- Seyedeh Fatemeh Dashti (ORCID: https://orcid.org/0000-0002-5483-9085)
Institutions
- Islamic Azad University Kerman (IR)
- Bushehr University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1186/s12911-024-02613-0
- Citations
- 1
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.35