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Tools, Programs and Algorithms (275)

Published on in Vol 4, No 2 (2016): Apr-Jun

Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes

Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes

Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes

Authors of this article:

Michael Mbagwu1, 2 Author Orcid Image ;   Dustin D French1, 2 Author Orcid Image ;   Manjot Gill1 Author Orcid Image ;   Christopher Mitchell3 Author Orcid Image ;   Kathryn Jackson2 Author Orcid Image ;   Abel Kho2 Author Orcid Image ;   Paul J Bryar1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

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  2. Wang S, Pershing S, Tran E, Hernandez-Boussard T. Automated extraction of ophthalmic surgery outcomes from the electronic health record. International Journal of Medical Informatics 2020;133:104007 View
  3. Chen J, Baxter S. Applications of natural language processing in ophthalmology: present and future. Frontiers in Medicine 2022;9 View
  4. Leng T, Schwartz J, Nimke D, Gallivan M, Fevrier H, Rozario N, Schultz N. Dry Age-Related Macular Degeneration: Distribution of Visual Acuity and Progression Risk in a Large Registry. Ophthalmology and Therapy 2023;12(1):325 View
  5. Goldstein J, Guo X, Boland M, Smith K. Visual Acuity. Ophthalmology Science 2023;3(1):100215 View
  6. Gallivan M, Garcia K, Torres A, Lum F, Li C, Mbagwu M, Leng T. Emulating VIEW 1 and VIEW 2 Clinical Trial Outcome Data Using the American Academy of Ophthalmology IRIS Registry. Ophthalmic Surgery, Lasers and Imaging Retina 2023;54(1):6 View
  7. Bernstein I, Koornwinder A, Hwang H, Wang S. Automated Recognition of Visual Acuity Measurements in Ophthalmology Clinical Notes Using Deep Learning. Ophthalmology Science 2024;4(2):100371 View