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

Journal: BMC medical informatics and decision making
Published Date: Aug 5, 2024

Abstract

BACKGROUND: The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian language, with its abundant vocabulary and complex characteristics, poses unique challenges for real-word error correction. This research aimed to develop an innovative approach for detecting and correcting spelling errors in Persian clinical text.

Authors

  • Seyed Mohammad Sadegh Dashti
    Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran. dashti@iauk.ac.ir.
  • Seyedeh Fatemeh Dashti
    Department of Advanced Research, Bushehr University of Medical Sciences, Bushehr, Iran.

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