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7 result(s) for 'author#Chieh-Liang Wu' within BMC

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  1. Weaning from mechanical ventilation (MV) is an essential issue in critically ill patients, and we used an explainable machine learning (ML) approach to establish an extubation prediction model.

    Authors: Kai-Chih Pai, Shao-An Su, Ming-Cheng Chan, Chieh-Liang Wu and Wen-Cheng Chao
    Citation: BMC Anesthesiology 2022 22:351
  2. Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse. We used explainable ML approach to establish 30-day, 90...

    Authors: Ming-Cheng Chan, Kai-Chih Pai, Shao-An Su, Min-Shian Wang, Chieh-Liang Wu and Wen-Cheng Chao
    Citation: BMC Medical Informatics and Decision Making 2022 22:75
  3. The long-term outcome is an essential issue in critically ill patients, and the identification of early determinant is needed for risk stratification of the long-term outcome. In the present study, we investig...

    Authors: Yu-Cheng Wu, Li-Ting Wong, Chieh-Liang Wu and Wen-Cheng Chao
    Citation: Journal of Intensive Care 2021 9:66
  4. Residents in long-term care facilities (LTCFs) are vulnerable to tuberculosis (TB) transmission; however, to delineate possible routes of TB transmission in LTCFs is difficult. This study aimed to address the ...

    Authors: Wen-Cheng Chao, Pei-Chun Chuang, Don-Han Wu, Chieh-Liang Wu, Po-Yu Liu, Chi-Chang Shieh and Ruwen Jou
    Citation: BMC Infectious Diseases 2017 17:421
  5. Healthcare-associated pneumonia (HCAP) is a relatively new category of pneumonia. It refers to infections that occur prior to hospital admission in patients with specific risk factors following contact or expo...

    Authors: Wen-Feng Fang, Kuang-Yao Yang, Chieh-Liang Wu, Chong-Jen Yu, Chang-Wen Chen, Chih-Yen Tu and Meng-Chih Lin
    Citation: Critical Care 2011 15:R32