Publications by authors named "Tara M Westover"
Article Synopsis
- Unstructured and structured data in electronic health records (EHR) can provide valuable insights for research, but extracting this information can be challenging; researchers introduced an automated model to identify patients with Alzheimer's Disease, related dementias (ADRD), and mild cognitive impairment (MCI).
- The study involved a sample of 3,626 outpatient adults, using medical notes and diagnoses from chart reviews to develop a logistic regression model that predicts MCI/ADRD diagnoses with high performance metrics.
- The model demonstrated impressive accuracy (99.88%) and other metrics (like AUROC of 0.98), showing that automated EHR phenotyping could effectively facilitate large-scale research on MCI/ADRD.
