Papers by Xinzhu Lin

1 papers
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph (D19-1)

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Challenge: Existing studies on symptom diagnosis based on EHRs focus on the standard electronic medical records, but the dialogues between doctors and patients that contain more rich information are not well studied.
Approach: They propose to build a global attention mechanism to capture more symptom related information and build symptom graphs to model the associations between symptoms rather than treating each symptom independently.
Outcome: The proposed model achieves the state-of-the-art on the constructed dataset.

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