Automatically uncover Interesting (novel, plausible, and useful) features in biomedical data by combining statistical filtering, literature mining, knowledge graphs and LLMs on UK BioBank tabular features

This contains the code used, and processed data and annotated datasets used in the paper: "InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data", by Dan Ofer, Michal Linial, & Dafna Shahaf.