Learning (predictive) risk scores in the presence of censoring due to interventions.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 323, doi. 10.1007/s10994-015-5527-7
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2016 AND VI 102 AND IP 3
Results: 8
1
2
Supersparse linear integer models for optimized medical scoring systems.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 349, doi. 10.1007/s10994-015-5528-6
- By:
- Publication type:
- Article
3
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 393, doi. 10.1007/s10994-015-5529-5
- By:
- Publication type:
- Article
4
A dynamic ensemble approach to robust classification in the presence of missing data.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 443, doi. 10.1007/s10994-015-5530-z
- By:
- Publication type:
- Article
5
Editorial: special issue on machine learning for health and medicine.
- Published in:
- 2016
- By:
- Publication type:
- Editorial
6
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 309, doi. 10.1007/s10994-015-5519-7
- By:
- Publication type:
- Article
7
Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 483, doi. 10.1007/s10994-015-5534-8
- By:
- Publication type:
- Article
8
Learning to identify relevant studies for systematic reviews using random forest and external information.
- Published in:
- Machine Learning, 2016, v. 102, n. 3, p. 465, doi. 10.1007/s10994-015-5535-7
- By:
- Publication type:
- Article