Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text

These findings underscore the effectiveness and superior performance of prompt learning and fine-tuning for subtasks within pretrained language models in medical practice. Our real-time ICD coding pipeline efficiently converts detailed medical free text into standardized labels, offering promising applications in clinical decision-making. It can assist doctors unfamiliar with the ICD coding system in organizing medical record information, thereby accelerating the medical process and enhancing the efficiency of diagnosis and treatment.

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Publication Details

Journal
JMIR Medical Informatics
Published
2024-11-19
DOI
https://doi.org/10.2196/63020
Citations
5
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
3.54
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article

Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text

Kunlun He, Xiuxing Li, J. Zhang, Yue Yu et al.
5 citations
JMIR Medical Informatics
Medical Coding and Health Information
3.54
article

Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text

Kunlun He, Xiuxing Li, J. Zhang, Yue Yu, Yan Zhuang, Chao Liu, Wei Dong
article en
5 citations

Abstract

These findings underscore the effectiveness and superior performance of prompt learning and fine-tuning for subtasks within pretrained language models in medical practice. Our real-time ICD coding pipeline efficiently converts detailed medical free text into standardized labels, offering promising applications in clinical decision-making. It can assist doctors unfamiliar with the ICD coding system in organizing medical record information, thereby accelerating the medical process and enhancing the efficiency of diagnosis and treatment.

JMIR Medical InformaticsVol. 13
Beijing Institute of Technology (CN), Chinese PLA General Hospital (CN), Digital China Health (China) (CN)
Openalex Percentile: Top 6%
Medical Coding and Health Information
3.54
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