Area of research
Artificial Intelligence · Health Informatics
Research interest
Research interests include Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, and Explainable Artificial Intelligence (XAI).
The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study
International partnership for governing generative artificial intelligence models in medicine
Explainable AI in healthcare: to explain, to predict, or to describe?
Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care
Updating methods for artificial intelligence–based clinical prediction models: a scoping review
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty
Perspectives on validation of clinical predictive algorithms
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
Interpreting area under the receiver operating characteristic curve
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality