"Selection of 51 predictors from 13, 782 candidate multimodal features ..."

Saaket Agrawal et al. (2021)

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DOI: 10.1016/J.PATTER.2021.100364

access: open

type: Journal Article

metadata version: 2023-04-05

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Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony A. Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera:
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns 2(12): 100364 (2021)

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