Article

Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification

2024-01-13

Abstract excerpt

Cardiovascular diseases (CVD), primarily coronary heart disease and stroke, rank amongst the leading causes of long-term disability and mortality. Providing accurate disease risk predictions and identifying genes associated with CVD are crucial for prevention, early intervention, and the development of novel medications. The recent availability of UK Biobank Proteomics data enables the investigation of the blood p...

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Literature Corpus work: 93dd60fd-49ca-5a4e-a1c0-3360c52b0b8f
DOI: 10.1101/2024.01.12.24301213

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