We developed a machine learning model to identify neuroinfectious diseases (NID) from electronic health record notes. Using 3,000 notes from Mass General Brigham, we trained an XGBoost model on text f
LGIB = lower gastrointestinal bleeding Patients from the derivation cohort were admitted between July 1, 2001 and June 30, 2005. Patients from the validation cohort were admitted between July 1, 2003
Retrospective cohort study on leprosy recurrence in Acre State: raw data, glossary, patients and recurrences. Spreadsheet 1, raw data: data retrieved from medical prontuaries. Spreadsheet 2, glossary:
