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HealthPartners

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1 paper here2 citations across 1
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  • stat.ML1
ROR 03s9ada67OpenAlex

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

2 citations

researchers with a paper here
  • David M. Vock1
  • Gabriela Vazquez‐Benitez1
  • Gediminas Adomavičius1
  • Julian Wolfson1
  • Mohamed Elidrisi1
  • Patrick J. O’Connor1
  • Paul Johnson1
  • Sunayan Bandyopadhyay1
collaborating institutions
  • Decision Sciences (United States)US1 paper
  • University of MinnesotaUS1 paper
Showing stat.MLShow all

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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…

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