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.

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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
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article

Improving the quality of Persian clinical text with a novel spelling correction system

Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti
1 citations
BMC Medical Informatics and Decision Making
Natural Language Processing Techniques
0.35
article

Improving the quality of Persian clinical text with a novel spelling correction system

Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti
article en
1 citations

Abstract

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.

BMC Medical Informatics and Decision MakingVol. 24(1)
Islamic Azad University Kerman (IR), Bushehr University of Medical Sciences (IR)
Quality Education
Openalex Percentile: Top 35%
Natural Language Processing Techniques
0.35
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