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Natural Language Processing to Quantify Microbial Keratitis Measurements.
Maganti, Nenita; Tan, Huan; Niziol, Leslie M; Amin, Sejal; Hou, Andrew; Singh, Karandeep; Ballouz, Dena; Woodward, Maria A.
Affiliation
  • Maganti N; Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Tan H; Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Department of Applied Statistics, Rackham Graduate School, University of Michigan, Ann Arbor, Michigan.
  • Niziol LM; Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Amin S; Department of Ophthalmology, Henry Ford Health System, Detroit, Michigan.
  • Hou A; Department of Ophthalmology, Henry Ford Health System, Detroit, Michigan.
  • Singh K; Departments of Learning Health Systems and Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Ballouz D; Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Woodward MA; Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: mariawoo@umich.edu.
Ophthalmology ; 126(12): 1722-1724, 2019 12.
Article in En | MEDLINE | ID: mdl-31307829
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Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Eye Infections, Bacterial / Corneal Ulcer Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Ophthalmology Year: 2019 Type: Article
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Eye Infections, Bacterial / Corneal Ulcer Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Ophthalmology Year: 2019 Type: Article