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Found 3 papers, 2 papers with code
Simplified Transfer Learning for Chest Radiography Models Using Less Data
Supervised contrastive learning enabled performance comparable to state-of-the-art deep learning models in multiple clinical tasks by using as few as 45 images and is a promising method for predictive modeling with use of small data sets and for predicting outcomes in shifting patient populations.
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation
Despite advances in natural language processing, automating clinical note generation from a clinic visit conversation is a largely unexplored area of research.
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves.
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