Federated Tensor Factorization for Computational Phenotyping-Reference-Cited by-同舟云学术

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Federated Tensor Factorization for Computational Phenotyping

Published:2017-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Kim Yejin¹,Sun Jimeng²,Yu Hwanjo³,Jiang Xiaoqian⁴

Affiliation:

1. Pohang University of Science and Technology & University of California, San Diego, Pohang, South Korea

2. Georgia Institute of Technology, Atlanta, GA, USA

3. Pohang University of Science and Technology, Pohang, South Korea

4. University of California, San Diego, La Jolla, CA, USA

Funder

Ministry of Science ICT and Future Planning

National Institutes of Health

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3097983.3098118

Reference28 articles.

1. EHRs connect research and practice: Where predictive modeling, artificial intelligence, and clinical decision support intersect

2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

3. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition

4. Portability of an algorithm to identify rheumatoid arthritis in electronic health records

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