Retinopathy prediction in type 2 diabetes: Time-varying Cox proportional hazards and machine learning models
Background: Diabetic retinopathy (DR) is one of the most common complications in type 2 diabetes (T2D) with an estimated prevalence of 22%. Predictive modelling has largely been dependent on Cox proportional hazards (CPH) with assumptions of linearity and constant hazards. Machine learning (ML) appr...
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| Format: | Article |
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2023
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| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/85143 |
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