Published on in Vol 10, No 3 (2022): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/32903, first published
.
Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes
Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes
1 Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, United States
2 Department of Biomedical Data Science, Stanford University, Stanford, CA, United States