Machine learning to determine relative contribution of modifiable and non-modifiable risk factors of major eye diseases.

Simon NusinoviciLiang ZhangXiaoran ChaiLei ZhouYih-Chung ThamCaroline VasseneixShivani MajithiaSabanayagam Charumathi Tien-Yin WongChing Yu Cheng

Published in: The British journal of ophthalmology (2020)

This study illustrates the utility of ML in identifying factors with the highest contributions. Risk factors possibly amenable to interventions were intraocular pressure (IOP) and Body Mass Index (BMI) for glaucoma, alcohol consumption for NDR and levels of HbA1c for DR.

Keyphrases

risk factors
body mass index
alcohol consumption
machine learning
physical activity
weight gain
artificial intelligence
big data
optical coherence tomography
optic nerve