Doctor Recommendation in Online Health Forums via Expertise Learning

• URL: http://arxiv.org/abs/2203.02932v4
• Date: Mon, 14 Mar 2022 12:34:30 GMT
• Title: Doctor Recommendation in Online Health Forums via Expertise Learning
• Authors: Xiaoxin Lu, Yubo Zhang, Jing Li, Shi Zong
• Abstract summary: This paper studies a novel task of doctor recommendation to enable automatic pairing of a patient to a doctor with relevant expertise. We study the joint effects of their profiles and previous dialogues with other patients and explore their interactions via self-learning. For experiments, a large-scale dataset is collected from Chunyu Yisheng, a Chinese online health forum.
• Score: 12.264865055778388
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task. To better help patients, this paper studies a novel task of doctor recommendation to enable automatic pairing of a patient to a doctor with relevant expertise. While most prior work in recommendation focuses on modeling target users from their past behavior, we can only rely on the limited words in a query to infer a patient's needs for privacy reasons. For doctor modeling, we study the joint effects of their profiles and previous dialogues with other patients and explore their interactions via self-learning. The learned doctor embeddings are further employed to estimate their capabilities of handling a patient query with a multi-head attention mechanism. For experiments, a large-scale dataset is collected from Chunyu Yisheng, a Chinese online health forum, where our model exhibits the state-of-the-art results, outperforming baselines only consider profiles and past dialogues to characterize a doctor.

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