Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning
Journal
JMIR medical informatics
Journal Volume
9
Journal Issue
8
Date Issued
2021-08-31
Author(s)
Chen, Pei-Fu
Wang, Ssu-Ming
Liao, Wei-Chih
Chen, Kuan-Chih
Lin, Yu-Cheng
Yang, Chi-Yu
Chiu, Chi-Hao
Chang, Shu-Chih
Abstract
The International Classification of Diseases (ICD) code is widely used as the reference in medical system and billing purposes. However, classifying diseases into ICD codes still mainly relies on humans reading a large amount of written material as the basis for coding. Coding is both laborious and time-consuming. Since the conversion of ICD-9 to ICD-10, the coding task became much more complicated, and deep learning- and natural language processing-related approaches have been studied to assist disease coders.
Subjects
International Classification of Diseases; Recurrent Neural Network; deep learning; natural language processing; text classification
Type
journal article