most citedData mining for censored time-to-event data: A Bayesian network model for predicting cardiovascular risk from electronic health record data

2 citations

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2 papers

stat.ME2023

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention

Brian D. Williamson, Erica E. M. Moodie, Gregory E. Simon +2

Risk of suicide attempt varies over time. Understanding the importance of risk factors measured at a mental health visit can help clinicians evaluate future risk and provide approp…

stat.ML2014★ 2 cited

Data mining for censored time-to-event data: A Bayesian network model for predicting cardiovascular risk from electronic health record data

Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock +5

Models for predicting the risk of cardiovascular events based on individual patient characteristics are important tools for managing patient care. Most current and commonly used ri…