Large-scale identification of patients with cerebral aneurysms using natural language processing.
Castro VM, Dligach D, Finan S, Yu S, Can A, Abd-El-Barr M, Gainer V, Shadick NA, Murphy S, Cai T, Savova G, Weiss ST, Du R.
Castro VM, et al. Among authors: can a.
Neurology. 2017 Jan 10;88(2):164-168. doi: 10.1212/WNL.0000000000003490. Epub 2016 Dec 7.
Neurology. 2017.
PMID: 27927935
Free PMC article.
After the final algorithm was applied, 5,589 patients were classified as having aneurysms, and 54,952 controls were matched to those patients. The positive predictive value based on a validation cohort of 300 patients was 0.86. CONCLUSIONS: We harnessed the power of the EM …
After the final algorithm was applied, 5,589 patients were classified as having aneurysms, and 54,952 controls were matched to those patient …