David Kent
0000-0002-9205-5070
Tufts Medical Center
14 papers found
Refreshing results…
Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia
Percutaneous Left Atrial Appendage Occlusion in Comparison to Non‐Vitamin K Antagonist Oral Anticoagulant Among Patients With Atrial Fibrillation
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models
External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature
Predictive approaches to heterogeneous treatment effects: a scoping review
Prehospital Triage Strategies for the Transportation of Suspected Stroke Patients in the United States
Risk of Paradoxical Embolism (RoPE)–Estimated Attributable Fraction Correlates With the Benefit of Patent Foramen Ovale Closure
Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19
Predictive approaches to heterogeneous treatment effects: a systematic review
Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports
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