Nan Liu
www.digitalmedicinelab.org
0000-0003-3610-4883
National University of Singapore
136 papers found
Refreshing results…
Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study
Association of High-Volume Centers With Survival Outcomes Among Patients With Nontraumatic Out-of-Hospital Cardiac Arrest
Implementation of prediction models in the emergency department from an implementation science perspective—Determinants, outcomes and real-world impact: A scoping review protocol
Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department
Proper Use of Multiple Imputation and Dealing with Missing Covariate Data
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Shapley variable importance cloud for interpretable machine learning
The effect of building-level socioeconomic status on bystander cardiopulmonary resuscitation: a retrospective cohort study.
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation
Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Gender disparities among adult recipients of layperson bystander cardiopulmonary resuscitation by location of cardiac arrest in Pan-Asian communities: A registry-based study
Association of air pollution with acute ischemic stroke risk in Singapore: a time-stratified case-crossover study
Impact of Cardiac Arrest Centers on the Survival of Patients With Nontraumatic Out‐of‐Hospital Cardiac Arrest: A Systematic Review and Meta‐Analysis
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Development and validation of the SARICA score to predict survival after return of spontaneous circulation in out of hospital cardiac arrest using an interpretable machine learning framework
Trends of chronic illness in emergency department admissions among elderly adults in a tertiary hospital over ten years
Impact of the COVID-19 pandemic on the epidemiology of out-of-hospital cardiac arrest: a systematic review and meta-analysis
A clinical predictive model for risk stratification of patients with severe acute lower gastrointestinal bleeding
Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review
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