Additional file 1 of Associations between blood pressure control and clinical events suggestive of nutrition care documented in electronic health records of patients with hypertension
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
Appendix Table S2. Characteristics of primary care patients with CKD based on eGFR (n =â1767). Patient characteristics stratified by their eGFR values. (XLSX 16 kb)
Objectives: To create test collections for evaluating clinical Information Retrieval (IR) systems and advancing clinical IR research. Materials and Methods: Electronic Health Records (EHR) data, inclu
