Predicting postoperative visual acuity in epiretinal membrane patients and visualization of the contribution of explanatory variables in a machine learning model

The purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate the accuracy of the prediction and the contribution of the exp...

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Veröffentlicht in:PloS one 2024-07, Vol.19 (7), p.e0304281
Hauptverfasser: Irie-Ota, Akiko, Matsui, Yoshitsugu, Imai, Koki, Mase, Yoko, Konno, Keiichiro, Sasaki, Taku, Chujo, Shinichiro, Matsubara, Hisashi, Kawanaka, Hiroharu, Kondo, Mineo
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Sprache:eng
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