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July 4, 2024Frontiers in NutritionOpen Access

Development of a machine learning-based model to predict major adverse events after surgery for type A aortic dissection complicated by malnutrition

Linfeng Xie Xinfan Lin Yu‐ling Xie Qingsong Wu Zhihuang Qiu Quan Lan Liangwan Chen

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Abstract

This study aims to develop a predictive model for the risk of major adverse events (MAEs) in type A aortic dissection (AAAD) patients with malnutrition after surgery, utilizing machine learning (ML) algorithms.

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Xie et al. (2024) studied this question.

synapsesocial.com/papers/68e615d9b6db6435875a86fc https://doi.org/10.3389/fnut.2024.1428532

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