Ha Na Cho, Sairam Sutari, Alexander Lopez, Hansen Bow, Kai Zheng
View original ↗Develop a template repository that benchmarks traditional ML (XGBoost) against small LLMs for specific clinical prediction tasks. Provide pre-built pipelines for data cleaning and tokenization of unstructured clinical notes.
Suggested repo: medpredict-light
"Benchmarking clinical prediction: BERT vs. XGBoost on real-world notes."
Estimated effort: 20h