Medical Quality Assessment and Professionalized Recommendations Based on Deep Learning

Qiqi Chen, Xingwei Liu, Mingyang Liao, Yi He, Feng Mu
2020 ICIC Express Letters  
Medical quality is the standard to measure the level of medical staff. Due to the large population and restricted medical resources in China, medical quality has attracted significant attention from both the government and the public in recent years. At present, one of the shortcomings of medical quality assessment is lack of objectivity, and the most important challenge for existing healthcare review websites is the lack of personalized and professionalized guidelines for users to choose
more » ... l services. In this paper, we develop a novel medical quality assessment and healthcare recommendation algorithm which is based on deep learning. The proposed algorithm differs from previous work in the following aspects: through big data analysis, objective evaluation of the medical quality is carried out; besides, it can timely obtain a doctor's or a department's specialty and deal with temporal changes of it, and a deep learning approach has been successfully employed in recommender systems to improve accuracy on recommendation. The experimental results show that the proposed algorithm provides a high-performance healthcare recommendation.
doi:10.24507/icicel.14.04.369 fatcat:6447ix66kncxnf3ljugvhoc3li