SCORNET: A novel non-parametric survival curve estimator for the Electronic Health Record

Semi-Supervised Calibration of Risk with Noisy Event Times (SCORNET) is a consistent, non-parametric survival curve estimator that boosts efficiency over existing non-parametric estimators by (1) utilizing unlabeled patients in a semi-supervised fashion, and (2) leveraging information-dense engineered EHR features to maximize unlabeled set imputation precision See Ahuja et al. (2020) BioArxiv for details

See also

Useful links:

• https://celehs.github.io/SCORNET

• Report bugs at https://github.com/celehs/SCORNET/issues

Author

Maintainer: Yuri Ahuja Yuri_Ahuja@hms.harvard.edu

Authors:

• PARSE Health