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iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

Crossref DOI link: https://doi.org/10.1016/j.future.2015.12.001

Published Print: 2017-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhang, Yin

Chen, Min

Huang, Dijiang

Wu, Di

Li, Yong
Funding

Funding for this research was provided by:

China National Natural Science Foundation (61572220)

National Natural Science Foundation of China (61272397)

National Natural Science Foundation of China (61572538)

Guangdong Natural Science Funds for Distinguished Young Scholar (S20120011187)
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This article is maintained by: Elsevier

Article Title: iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

Journal Title: Future Generation Computer Systems

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.future.2015.12.001

Content Type: article

Copyright: © 2016 Elsevier B.V. All rights reserved.