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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

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…