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| A Physician Recommendation Algorithm Integrating Inquiries and Decisions of Patients |
Ye Jiaxin,Xiong Huixiang( ),Jiang Wuxuan |
| School of Information Management, Central China Normal University, Wuhan 430079, China |
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Abstract [Objective] This paper investigates the decision-making mechanism of patients choosing doctors, aiming to build a better physician recommendation system.[Methods] First, we used Word2Vec to train the word vector model, and calculated the similarity between patients and doctors. Then, we analyzed the decision-making behaviors of patients choosing doctors. Finally, we combined the scores of doctors based on their similarity with patient needs and the latter’s decision mechanism to generate a recommended list.[Results] We conducted an empirical study with data from “Hao Daifu (Great Doctors)”. The proposed algorithm could help patients find doctors meeting their needs.[Limitations] The patient’s decision-making history needs to be analyzed. Our recommendation algorithm is for a single patient, which is costly.[Conclusions] The proposed method could recommend appropriate doctors meeting patient’s needs.
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Received: 10 June 2019
Published: 26 April 2020
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Corresponding Authors:
Huixiang Xiong
E-mail: hxxiong@mail.ccnu.edu.cn
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