Area of research
Epidemiology · Pulmonary and Respiratory Medicine
Research interest
Research focused on Citation and Calibration, with related work in Predictive analytics, Artificial intelligence, Marginal structural model. Notable publications include 'A bibliometric analysis using VOSviewer of publications on COVID-19', 'Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome', and 'Overview of model validation for survival regression model with competing risks using melanoma study data'.
Deriving consensus sepsis clusters via goal-directed subgroup identification in multi-omics study
Global and regional burden of 34 key pathogens in the elderly population in 2021: A systematic analysis of the global burden of disease study 2021
Chinese experts’ consensus on the application of intensive care big data
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume IV
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation
The application of artificial intelligence in the management of sepsis
Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity
Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note
Effectiveness of automated alerting system compared to usual care for the management of sepsis
Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial
Integrated Single Cell and Bulk RNA-Seq Analysis Revealed Immunomodulatory Effects of Ulinastatin in Sepsis: A Multicenter Cohort Study
Correction to: Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial
Development and Validation of a Practical Model to Identify Patients at Risk of Bleeding After TAVR
Individualized resuscitation strategy for septic shock formalized by finite mixture modeling and dynamic treatment regimen
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review
Effectiveness of anisodamine for the treatment of critically ill patients with septic shock: a multicentre randomized controlled trial
Active Implementation of an Evidence-Based Nutrition Guideline for Critically Ill Patients Versus Standard Care: A Cluster Randomised, Multicentre, Controlled Trial
A bibliometric analysis using VOSviewer of publications on COVID-19
Clinical characteristics and treatment of critically ill patients with COVID-19 in Hebei
Clinical characteristics and current treatment of critically ill patients with COVID-19 outside Wuhan, China: a multicenter, retrospective, observational study
Clinical Characteristics and Current Treatment of Critically Ill Patients with COVID-19 Outside Wuhan, China: A Multicenter, Retrospective, Observational Study
Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome
Overview of model validation for survival regression model with competing risks using melanoma study data
Artificial intelligence in emergency medicine
Enteral nutrition feeding in Chinese intensive care units: a cross-sectional study involving 116 hospitals
The Society for Translational Medicine: clinical practice guidelines for the postoperative management of chest tube for patients undergoing lobectomy
The Society for Translational Medicine: clinical practice guidelines for mechanical ventilation management for patients undergoing lobectomy
Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform
Use of the PiCCO system in critically ill patients with septic shock and acute respiratory distress syndrome: a study protocol for a randomized controlled trial