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Hsin-Yao Wang

Biographic Data

ID5544397
NAMEHsin-Yao Wang
GIVEN NAMESHsin-Yao
FAMILY NAMEWang
SIGNATUREWANG H
AFFILIATIONSDepartment of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning

    Open Access•Frank Lien, Hsin-Yao Wang et al.•ARTICLE•Medical Care•2021•References: 33

    BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety. OBJECTIVES: This study shows how machine learning (ML) models can provide auxiliary information for more accurate identification of critical thrombocytopenic patients when compared with the traditional notification s…

No prominent works on this page.

  • Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning

    Open Access•Frank Lien, Hsin-Yao Wang et al.•ARTICLE•Medical Care•2021•References: 33

    BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety. OBJECTIVES: This study shows how machine learning (ML) models can provide auxiliary information for more accurate identification of critical thrombocytopenic patients when compared with the traditional notification s…

Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Computer Science (1 works) · Decision tree (1 works) · Inflammatory Biomarkers in Disease Prognosis (1 works) · Logistic regression (1 works) · Machine learning (1 works) · Mathematics (1 works) · Medicine (1 works)

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