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Recommending Doctors Online Based on Combined Conditions |
Li Yueyan,Xiong Huixiang(),Li Xiaomin |
School of Information Management, Central China Normal University, Wuhan 430079, China |
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Abstract [Objective] This paper integrates multiple recommendation strategies to discover high-quality doctor services, aiming to improve the recommendation results from medical consultation websites. [Methods] We built a doctor recommendation model based on combined conditions, which included three models for similar patients, medical fields and doctor performance. Then, we used a linear weighted hybrid strategy to merge these results to create a final list. We retrieved data from "Good Doctor Online" to evaluate the proposed model. [Results] Up to 86% of the doctors seen by the patients were identified by our new model. [Limitations] The choice of users might be affected by random factors and the weight setting of each strategy needs to be improved. [Conclusions] The proposed model could effectively recommend high-quality doctors for patients.
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Received: 16 September 2019
Published: 05 June 2020
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Corresponding Authors:
Xiong Huixiang
E-mail: hxxiong@mail.ccnu.edu.cn
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