AI-based ICD coding and classification approaches using discharge summaries: A systematic literature review
作者：
Highlights：
• This review focuses on automated ICD code assignment using discharge summaries.
• We consider 42 studies published between January 2010 and December 2021.
• Selected studies use Natural Language Processing and Machine Learning approaches.
• Comparison of studies shows a significant increase in use of deep learning models.
• We highlight limitations in existing studies and discuss open research challenges.
摘要
•This review focuses on automated ICD code assignment using discharge summaries.•We consider 42 studies published between January 2010 and December 2021.•Selected studies use Natural Language Processing and Machine Learning approaches.•Comparison of studies shows a significant increase in use of deep learning models.•We highlight limitations in existing studies and discuss open research challenges.
论文关键词：Computer assisted clinical coding,Clinical classification and coding,Discharge summaries,Natural Language Processing,Machine learning,Deep learning
论文评审过程：Received 29 March 2022, Revised 6 October 2022, Accepted 7 October 2022, Available online 14 October 2022, Version of Record 21 October 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118997
