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Miye Wang

Biographic Data

ID7955670
NAMEMiye Wang
GIVEN NAMESMiye
FAMILY NAMEWang
SIGNATUREWANG M
AFFILIATIONSWest China Hospital of Sichuan University
ORCID0000-0002-4137-0310
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • An Explainable AI Approach for the Rapid Diagnosis of Covid-19 Using Ensemble Learning Algorithms

    Open Access•Houwu Gong, Miye Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Artificial intelligence-based disease prediction models have a greater potential to screen COVID-19 patients than conventional methods. However, their application has been restricted because of their underlying black-box nature. Objective: To addressed this issue, an explainable artificial intelligence (XAI) approach was developed to screen patients for COVID-19. Methods: A retrospective study consisting of 1,737 participants (759 COV…

  • Potential Biomarkers for Predicting Depression in Diabetes Mellitus

    Open Access•Xiuli Song, Qiang Zheng et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: To identify the potential biomarkers for predicting depression in diabetes mellitus using support vector machine to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone. Methods: Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 187 p…

No prominent works on this page.

  • Potential Biomarkers for Predicting Depression in Diabetes Mellitus

    Open Access•Xiuli Song, Qiang Zheng et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: To identify the potential biomarkers for predicting depression in diabetes mellitus using support vector machine to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone. Methods: Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 187 p…

  • An Explainable AI Approach for the Rapid Diagnosis of Covid-19 Using Ensemble Learning Algorithms

    Open Access•Houwu Gong, Miye Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Artificial intelligence-based disease prediction models have a greater potential to screen COVID-19 patients than conventional methods. However, their application has been restricted because of their underlying black-box nature. Objective: To addressed this issue, an explainable artificial intelligence (XAI) approach was developed to screen patients for COVID-19. Methods: A retrospective study consisting of 1,737 participants (759 COV…

Internal Medicine (2 works) · Medicine (2 works) · Receiver operating characteristic (2 works) · AdaBoost (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Blood pressure (1 work) · Cholesterol (1 work) · Chronic Disease Management Strategies (1 work) · Computer Science (1 work)

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