Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing-Reference-Cited by-同舟云学术

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Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing

Published:2019-04 Issue:7 Volume:33 Page:1-1
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhang Qingchen¹,Bai Changchuan²,Chen Zhikui³,Li Peng³^ORCID,Yu Hang¹,Wang Shuo⁴,Gao He⁵

Affiliation:

1. Department of Computer Science St. Francis Xavier University Antigonish Canada

2. Dalian Hospital of Traditional Chinese Medicine Dalian China

3. School of Software Technology Dalian University of Technology Dalian China

4. Changxing Hospital Dalian China

5. The Third People's Hospital of Dalian Dalian China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5252

Reference37 articles.

1. Multicloud-Based Evacuation Services for Emergency Management

2. LinM YangLT.Hybrid genetic algorithms for scheduling partially ordered tasks in a multi‐processor environment. In: Proceedings of the 6th International Conference on Real‐Time Computing Systems and Applications;1999;Hong Kong China.https://doi.org/10.1109/RTCSA.1999.811284

3. ShuL ZhangY YangLT WangY HauswirthM.Geographic routing in wireless multimedia sensor networks. In: Proceedings of the 2nd International Conference on Future Generation Communication and Networking;2008;Hainan Island China.https://doi.org/10.1109/FGCN.2008.17

4. NextCell: Predicting Location Using Social Interplay from Cell Phone Traces

5. Hybrid privacy-preserving clinical decision support system in fog–cloud computing

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