Article

Machine learning methods applied to classify complex diseases using genomic data

2024-03-20

Abstract excerpt

<h4>ABSTRACT</h4> Complex diseases pose challenges in disease prediction due to their multifactorial and polygenic nature. In this work, we explored the prediction of two complex diseases, multiple sclerosis (MS) and Alzheimer’s disease (AD), using machine learning (ML) methods and genomic data from UK Biobank. Different ML methods were applied, including logistic regressions (LR), gradient boosting decision tree...

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Literature Corpus work: 4eef269e-81d9-5b72-a982-a75a26903d88
DOI: 10.1101/2024.03.18.585541

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