Data Dialogue with Shijing Si, Duke University: Natural Language Processing of the User-Generated MyChart Messages

Sep 4

Friday, September 4, 2020 - 12:00pm to 1:00pm

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Presenter

Shijing Si

Natural Language Processing of the User-Generated MyChart Messages Abstract: Online portals like MyChart allow patients to communicate with healthcare providers conveniently. Therefore, a large number of messages are sent to healthcare providers everyday, which significantly increase the workload of doctors. We investigate the use of both unsupervised and supervised learning tools to patient-generated messages. Specifically, 1.) we utilize topic modeling to the massive messages to discover topics and their trends; 2.) we leverage the state-of-the-art BERT to construct an automatic message triage. Our deep learning classifier outperforms a few baseline methods, reaching a F1-score of 80.7%. Click here to register: https://duke.zoom.us/j/94764832177

Contact

Dawn, Ariel
919-684-9312
ariel.dawn@duke.edu