Automatic Generation of Electronic Medical Record Based on GPT2 Model
Junkun Peng, Pin Ni, Jiayi Zhu, Zhenjin Dai, Yuming Li, Gangmin Li, Xuming Bai · 2019
Writing Electronic Medical Records (EMR) as one of daily major tasks of doctors, consumes a lot of time and effort from doctors. This paper reports our efforts to generate electronic medical records using the language model. Through the training of massive real-world EMR data, the CMedGPT2 model provided by us can achieve the ideal Chinese electronic medical record generation. The experimental results prove that the generated electronic medical record text can be applied to the auxiliary medical record work to reduce the burden on the compose and provide a fast and accurate reference for composing work.