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cs.CV2022
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Weiyao Wang, Byung-Hak Kim, Varun Ganapathi
Recent advances in self-supervised learning (SSL) using large models to learn visual representations from natural images are rapidly closing the gap between the results produced by…
cs.LG2022
Medical Codes Prediction from Clinical Notes: From Human Coders to Machines
Byung-Hak Kim
Prediction of medical codes from clinical notes is a practical and essential need for every healthcare delivery organization within current medical systems. Automating annotation w…
cs.LG2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
Byung-Hak Kim, Zhongfen Deng, Philip S. Yu +1
The medical codes prediction problem from clinical notes has received substantial interest in the NLP community, and several recent studies have shown the state-of-the-art (SOTA) c…