TY - JOUR
T1 - A benchmark for automatic medical consultation system
T2 - frameworks, tasks and datasets
AU - Chen, Wei
AU - Li, Zhiwei
AU - Fang, Hongyi
AU - Yao, Qianyuan
AU - Zhong, Cheng
AU - Hao, Jianye
AU - Zhang, Qi
AU - Huang, Xuanjing
AU - Peng, Jiajie
AU - Wei, Zhongyu
N1 - Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Motivation: In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience. In this article, we propose two frameworks to support automatic medical consultation, namely doctor–patient dialogue understanding and task-oriented interaction. We create a new large medical dialogue dataset with multi-level fine-grained annotations and establish five independent tasks, including named entity recognition, dialogue act classification, symptom label inference, medical report generation and diagnosis-oriented dialogue policy. Results: We report a set of benchmark results for each task, which shows the usability of the dataset and sets a baseline for future studies.
AB - Motivation: In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience. In this article, we propose two frameworks to support automatic medical consultation, namely doctor–patient dialogue understanding and task-oriented interaction. We create a new large medical dialogue dataset with multi-level fine-grained annotations and establish five independent tasks, including named entity recognition, dialogue act classification, symptom label inference, medical report generation and diagnosis-oriented dialogue policy. Results: We report a set of benchmark results for each task, which shows the usability of the dataset and sets a baseline for future studies.
UR - http://www.scopus.com/inward/record.url?scp=85146171269&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btac817
DO - 10.1093/bioinformatics/btac817
M3 - 文章
AN - SCOPUS:85146171269
SN - 1367-4803
VL - 39
JO - Bioinformatics
JF - Bioinformatics
IS - 1
M1 - btac817
ER -