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Yalin Wang 0017

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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affiliation: PLA General Hospital, Medical Supplies Center, Department of Medical Engineering, Beijing, China

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Yalin Wang
Yalin Wang 0001 — Arizona State University, Tempe, AZ, USA
Yalin Wang 0002 — Texas State University, San Marcos, TX, USA
Yalin Wang 0003 — Central South University, Changsha, China (and 1 more)
Yalin Wang 0004 — Hefei University of Technology, School of Management, China
Yalin Wang 0005 — Nanjing University of Information Science and Technology, China
Yalin Wang 0006 — Academy of Military Medical Science, Institute of Medical Equipment, Tianjin, China
Yalin Wang 0007 — Yunnan University, School of Mathematics and Statistics, Yunnan, China
Yalin Wang 0008 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China
Yalin Wang 0009 — Harbin Institute of Technology, Department of Sociology, Harbin, China
Yalin Wang 0010 — Chongqing Geomatics Center, China
Yalin Wang 0011 — Zhejiang University, College of ISEE, Hangzhou, China
Yalin Wang 0012 — Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Engineering, Shanghai, China (and 1 more)
Yalin Wang 0013 — Zhixing College of Hubei University, School of Economics and Management, Wuhan, China
Yalin Wang 0014 — Odessa Polytechinc National University, Educational and Scientific Institute of Electrical Engineering and Electromechanics, Ukraine
Yalin Wang 0015 — Qufu Normal University, School of Cyber Science and Engineering, China
Yalin Wang 0016 — Shanghai Jiao Tong University, Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, China

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2023
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Wenzhu Wu, Yalin Wang, Junquan Tang, Ming Yu, Jing Yuan, Guang Zhang:
Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators. Comput. Methods Programs Biomed. 230: 107328 (2023)

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last updated on 2024-07-04 23:59 CEST by the dblp team

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