Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction-Reference-Cited by-同舟云学术

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Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)
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Author:

Wang Zhijin¹,Cai Bing¹,Yang Wen²,Zhang Peisong³,Huang Yaohui⁴,Tang Jinmo²

Affiliation:

1. Jimei University,College of Computer Engineering,Xiamen,China

2. Fujian University of Traditional Chinese Medicine,Xiamen Hospital of Traditional Chinese Medicine,Fuzhou,China

3. Jimei University,School of Science,Xiamen,China

4. Guangxi Minzu University,College of Electronic Information,Nanning,China

Funder

Natural Science Foundation of Fujian Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189429/10189430/10189504.pdf?arnumber=10189504

Reference31 articles.

1. Nonalcoholic Fatty Liver Disease 2020: The State of the Disease

2. From NASH to HCC: current concepts and future challenges

3. Role of imaging-based biomarkers in NAFLD: Recent advances in clinical application and future research directions

4. Application of Artificial Intelligence for Diagnosis and Risk Stratification in NAFLD and NASH: The State of the Art

5. Application of computer tongue image analysis technology in the diagnosis of NAFLD

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