ArticleJournal of digital imaging2020
Automated Misspelling Detection and Correction in Persian Clinical Text.
Article in Journal of digital imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors.NPJ digital medicine · 2025Article
- Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications.Abdominal radiology (New York) · 2025Review
- Improving the quality of Persian clinical text with a novel spelling correction system.BMC medical informatics and decision making · 2024Article
- Correcting spelling mistakes in Persian texts with rules and deep learning methods.Scientific reports · 2023Article
- Digital games for rehabilitation of speech disorders: A scoping review.Health science reports · 2023Article
- Using automated methods to detect safety problems with health information technology: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- A scoping review of natural language processing of radiology reports in breast cancer.Frontiers in oncology · 2023Article
- Multi-objective data enhancement for deep learning-based ultrasound analysis.BMC bioinformatics · 2022Article
- Development, usability and quality evaluation of the resilient mobile application for women with breast cancer.Health science reports · 2022Article
- Evaluation of m-Health-rehabilitation for respiratory disorders: A systematic review.Health science reports · 2022Article
- Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects.Medical journal of the Islamic Republic of Iran · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate electronic health records are important for clinical care, research, and patient safety assurance. Correction of misspelled words is required to ensure the correct interpretation of medical records. In the Persian language, the lack of automated misspelling detection and correction system is evident in the medicine and health care. In this article, we describe the development of an automated misspelling detection and correction system for radiology and ultrasound's free texts in the Persian language. To achieve our goal, we used n-gram language model and three different types of free texts related to abdominal and pelvic ultrasound, head and neck ultrasound, and breast ultrasound reports. Our system achieved the detection performance of up to 90.29% for radiology and ultrasound's free texts with the correction accuracy of 88.56%. Results indicated that high-quality spelling correction is possible in clinical reports. The system also achieved significant savings during the documentation process and final approval of the reports in the imaging department.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.