Article

Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK Biobank

2024-04-20

Abstract excerpt

We train prediction and survival models using multi-omics data for disease risk identification and stratification. Existing work on disease prediction focuses on risk analysis using datasets of individual data types (metabolomic, genomics, demographic), while our study creates an integrated model for disease risk assessment. We compare machine learning models such as Lasso Regression, Multi-Layer Perceptron, XG Bo...

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Literature Corpus work: 87214f2e-0d0a-57f2-bb9c-79defb191e49
DOI: 10.1101/2024.04.16.589819

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