Abstract
With the continuous deepening of informatization in the medical field, the massive data in electronic medical records makes it possible to carry out intelligent medical recommendation technology based on data mining and cloud computing[1]. In this paper, we proposed an algorithm for doctor assessment based on collaborative filtering to achieve the goal of personalized medical recommendation in the large data environment. On this basis, to reduce complexity and improve operational efficiency, we proposed an improved algorithm based on clustering and clustered doctors who are professional on certain illness. The result shows that the algorithm can recommend optimal doctors to patients efficiently.
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Wang, C., Xu, M. (2017). The Research of Doctors Recommendation Algorithm based on Clustering and Collaborative Filtering. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-255-7_42
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DOI: https://doi.org/10.2991/978-94-6239-255-7_42
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