Evaluating the Diagnostic Accuracy of a Novel Bayesian Decision-Making Algorithm for Vision Loss.
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| Title: | Evaluating the Diagnostic Accuracy of a Novel Bayesian Decision-Making Algorithm for Vision Loss. |
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| Authors: | Basilious A; Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St., London, ON N6A 5C1, Canada., Govas CN; School of Medicine, Ross University, Two Mile Hill, St. Michael, Bridgetown BB11093, Barbados., Deans AM; Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St., London, ON N6A 5C1, Canada., Yoganathan P; Department of Ophthalmology, Kresge Eye Institute, Wayne State University School of Medicine, Wayne State University, 540 E. Canfield Ave., Detroit, MI 48201, USA.; Windsor Eye Associates, Department of Ophthalmology and Vision Sciences, University of Toronto, 2224 Walker Rd #198, Windsor, ON N8W 3P6, Canada., Deans RM; Department of Ophthalmology, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St., London, ON N6A 5C1, Canada. |
| Source: | Vision (Basel, Switzerland) [Vision (Basel)] 2022 Apr 04; Vol. 6 (2). Date of Electronic Publication: 2022 Apr 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101733282 Publication Model: Electronic Cited Medium: Internet ISSN: 2411-5150 (Electronic) Linking ISSN: 24115150 NLM ISO Abbreviation: Vision (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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