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

mice: Multivariate Imputation by Chained Equations inR

(2015) Stef van Buuren et al.   Journal of Statistical Software

Design of a National Distributed Health Data Network

(2013) Judith C. Maro   ANNALS OF INTERNAL MEDICINE

Uncensoring censored data for machine learning: A likelihood-based approach

(2012) Ivan Štajduhar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Looking Beyond Historical Patient Outcomes to Improve Clinical Models

(2012) C.-C. Chia et al.   Science Translational Medicine

Learning Bayesian networks from survival data using weighting censored instances

(2010) Ivan Štajduhar et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Prediction Modeling Using EHR Data

(2010) Jionglin Wu et al.   MEDICAL CARE

Impact of censoring on learning Bayesian networks in survival modelling

(2009) Ivan Štajduhar et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics

General Cardiovascular Risk Profile for Use in Primary Care

(2008) Ralph B. D’Agostino et al.   CIRCULATION