Yiwei Hao

Datos Biográficos

ID7306244
NOMBREYiwei Hao
NOMBRESYiwei
APELLIDOHao
FIRMAHAO Y
AFILIACIONESCapital Medical University
ORCID0000-0001-7043-7505
VERIFICADONo
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0

  • Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals

    Open AccessJialu Li, Yiwei Hao et al.ARTICLEFrontiers in Public Health2024

    Objective: The study aimed to use supervised machine learning models to predict the length and risk of prolonged hospitalization in PLWHs to help physicians timely clinical intervention and avoid waste of health resources. Methods: , while classification models were established based on RF, KNN, SVM, NN, and XGB to predict risk of prolonged hospital stay using accuracy, PPV, NPV, specificity, sensitivity, and kappa, and visualization evaluation b…

  • Symptom network connectivity and interaction among people with HIV in China

    Open AccessMeilian Xie, Xiaoyu Liu et al.ARTICLEBMC Public Health2024

    Early identification and assessment of the central or bridge symptoms should be emphasized in clinical practice. According to the findings from network analysis, healthcare providers should proactively explore intervention strategies or bundle care to alleviate the burden of symptoms and enable anticipatory care

  • Trends in rates and causes of hospitalization among people living with HIV in the antiretroviral therapy era

    Open AccessYing Liu, Yiwei Hao et al.ARTICLEFrontiers in Public Health2022

    Background The introduction of antiretroviral therapy (ART) has resulted in marked reductions in morbidity among people living with HIV (PLWH). Monitoring the hospitalizations of PLWH is important in evaluating the quality of healthcare and forecasting the co-morbidity pattern. We aimed to describe the trends in the rates and causes of hospitalization among PLWH who initiated ART in an HIV-designated hospital in China. Methods PLWH who initiated …

  • Predictive Analysis of Factors Influencing Depression Status of Nurses in the Covid-19 Pandemic Intensive Care Unit

    Open AccessJing Li, Yanhua Zhang et al.ARTICLEFrontiers in Psychiatry2021

    Purpose: Understand the effects of the COVID-19 pandemic on depression in intensive care unit (ICU) nurses, analyze high-risk factors, and propose appropriate measures to maintain physical and mental health. Methods: A total of 78 nurses in ICU of Beijing Ditan Hospital affiliated with Capital Medical University (Beijing area, COVID-19 patient designated hospital) were investigated with self-rating depression scale (SDS). The Cronbach'sαcoefficie…