Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degeneration.

Abdallah Abbas Ciara O'Byrne Dun Jack Fu Gabriella MoraesKonstantinos BalaskasRobbert StruyvenSara BeqiriSiegfried Karl Wagner Edward Korot Pearse Andrew Keane

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2022)

We have described and validated an AutoML-WIT pipeline which enables clinicians with minimal coding skills to match the performance of a state-of-the-art algorithm and obtain explainable predictions.

Keyphrases

age related macular degeneration
machine learning
artificial intelligence
deep learning
big data
palliative care
medical students
type diabetes
adipose tissue
metabolic syndrome
skeletal muscle
glycemic control