Peng, Junkun;
Ni, Pin;
Zhu, Jiayi;
Dai, Zhenjin;
Li, Yuming;
Li, Gangmin;
Bai, Xuming;
(2019)
Automatic Generation of Electronic Medical Record Based on GPT2 Model.
In: Baru, Chaitanya and Huan, Jun and Khan, Latifur and Hu, Xiaohua and Ak, Ronay and Tian, Yuanyuan and Barga, Roger and Zaniolo, Carlo and Lee, Kisung and Ye, Yanfang Fanny, (eds.)
2019 IEEE International Conference on Big Data (Big Data).
(pp. pp. 6180-6182).
IEEE: Los Angeles, CA, USA.
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Automatic Generation of Electronic Medical Record Based on GPT2 Model |
| Event: | IEEE International Conference on Big Data (Big Data) |
| Location: | Los Angeles, CA |
| Dates: | 9 Dec 2019 - 12 Dec 2019 |
| ISBN-13: | 978-1-7281-0858-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/BigData47090.2019.9006414 |
| Publisher version: | https://doi.org/10.1109/BigData47090.2019.9006414 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Liver; Training; Cancer; Electronic medical records; Data models; Hospitals; Task analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10159896 |
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