Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/53367, first published
.
![Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study](https://asset.jmir.pub/assets/d0526f66693a323ce944e731dc40ae52.png 480w,https://asset.jmir.pub/assets/d0526f66693a323ce944e731dc40ae52.png 960w,https://asset.jmir.pub/assets/d0526f66693a323ce944e731dc40ae52.png 1920w,https://asset.jmir.pub/assets/d0526f66693a323ce944e731dc40ae52.png 2500w)
Journals
- McMurry A, Gottlieb D, Miller T, Jones J, Atreja A, Crago J, Desai P, Dixon B, Garber M, Ignatov V, Kirchner L, Payne P, Saldanha A, Shankar P, Solad Y, Sprouse E, Terry M, Wilcox A, Mandl K. Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. Journal of the American Medical Informatics Association 2024;31(8):1638 View