Abstract
Electronic medical records (EMRs) are one of the ways to help doctors effectively manage and analyze patient medical records. These EMRs can not only help doctors save a lot of time in analyzing medical records, but also reduce the hospital's demand for doctors and reduce the hospital's expenditure cost. Therefore, we propose a novel information extraction model integrating multi-granularity global information to efficiently extract information about a patient's physical condition in a doctor-patient dialogue. Experimental results show that our model achieves better results compared to the baseline model, indicating the effectiveness of the model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
