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- W3166148691 abstract "The objective was to formulate, test, and compare the performance of regression-based and machine learning models in the prediction major adverse limb events (MALE) and mortality among patients receiving treatment for lower extremity peripheral artery disease (PAD)." @default.
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- W3166148691 date "2021-06-01" @default.
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- W3166148691 title "AI4 Comparing Machine-Learning Methods for the Prediction of Major Adverse Limb Events and Mortality after a Percutaneous Intervention" @default.
- W3166148691 doi "https://doi.org/10.1016/j.jval.2021.04.009" @default.
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