Predicting postoperative visual acuity in epiretinal membrane patients and visualization of the contribution of explanatory variables in a machine learning model.
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| Title: | Predicting postoperative visual acuity in epiretinal membrane patients and visualization of the contribution of explanatory variables in a machine learning model. |
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| Authors: | Irie-Ota A; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Matsui Y; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Imai K; Department of Electrical and Electronic Engineering, Mie University, Tsu, Mie, Japan., Mase Y; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Konno K; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Sasaki T; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Chujo S; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Matsubara H; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan., Kawanaka H; Department of Electrical and Electronic Engineering, Mie University, Tsu, Mie, Japan., Kondo M; Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Mie, Japan. |
| Source: | PloS one [PLoS One] 2024 Jul 22; Vol. 19 (7), pp. e0304281. Date of Electronic Publication: 2024 Jul 22 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0304281 |
