Risk group detection and survival function estimation for interval coded survival methods
By Vanya Van Belle, Patrick Neven, Vernon Harvey, S. Van Huffel, Johan A. K. Suykens, Stephen P. Boyd. 2013
5 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Statistics and Probability
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Citations in the corpus
- Learning Optimized Risk Scores (2016, methodology): “It was critical for the model to output calibrated risk predictions since physicians would use the predicted risk to choose between multiple treatment options (i.e., patients may be prescribed different medication based on their predicted risk; see also Van Calster and Vickers, 2015; Shah et al., 20”
- Supersparse linear integer models for optimized medical scoring systems (2015, background): “Carrizosa et al. (2010), Van Belle et al. (2013) and Goh and Rudin (2014) take different but related approaches for constructing classifiers with binary threshold rules.”