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machine learning

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Early diagnosis of cardiovascular diseases from fundus retinal images

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Verbal fluency and cognitive functioning in the CLSA

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Development of interpretable machine learning models for fall prediction in older adults using the CLSA comprehensive dataset

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Predicting disease progression in age-related macular degeneration using genetic, retinal pathology biomarkers, demographic and environmental factors

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Machine-learning approaches to predicting cognitive decline and cognitive impairment in CLSA participants

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Enabling precision management of ophthalmic disease through discovery of underlying biological pathways and clinical prediction tool development

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Improving the accuracy of artificial intelligence/machine learning (AI/ML) diagnosis

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Health behaviour profiles and predicting health outcomes from risky health behaviour combinations

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Development of a novel multi-disciplinary model to explore biological aging

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Can successful aging protect against COVID-19 related mental health issues?

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Genomic investigations of hearing loss

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Hierarchical clustering of shared risk factors for osteoarthritis and cardiovascular disease

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