Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

Interpreting a predictive model for 1-year VA in patients with nAMD from multimodal data allowed us to identify crucial factors for predicting VA.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2024-09-03
DOI
https://doi.org/10.1167/tvst.13.9.3
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.40

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article

Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

Minsub Lee, Hyungwoo Lee, Hyewon Chung, Hyung Chan Kim et al.
1 citations
Translational Vision Science & Technology
Retinal Imaging and Analysis
0.40
article

Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

Minsub Lee, Hyungwoo Lee, Hyewon Chung, Hyung Chan Kim, Najung Kim
article en
1 citations

Abstract

Interpreting a predictive model for 1-year VA in patients with nAMD from multimodal data allowed us to identify crucial factors for predicting VA.

Translational Vision Science & TechnologyVol. 13(9)
Konkuk University Medical Center (KR)
Konkuk University Medical Center, Konkuk University
Openalex Percentile: Top 35%
Retinal Imaging and Analysis
0.40
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