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Julian Wolfson

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • stat.AP1
ORCID 0000-0002-2032-0875

identity via Semantic Scholar / OpenAlex

most citedA Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

4 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2015

Who's good this year? Comparing the Information Content of Games in the Four Major US Sports

Julian Wolfson, Joseph S. Koopmeiners

In the four major North American professional sports (baseball, basketball, football, and hockey), the primary purpose of the regular season is to determine which teams most deserv…

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…

stat.ML2014★ 4 cited

A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

Julian Wolfson, Sunayan Bandyopadhyay, Mohamed Elidrisi +5

Predicting an individual's risk of experiencing a future clinical outcome is a statistical task with important consequences for both practicing clinicians and public health experts…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.