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Machine learning-based mortality prediction models for non-alcoholic fatty liver disease in the general United States population

2024-07-16

Abstract excerpt

<h4>Background & Aims</h4> Nowadays, the global prevalence of non-alcoholic fatty liver disease (NAFLD) has reached about 25%, which is the most common chronic liver disease worldwide, and the mortality risk of NAFLD patients is higher. Our research created five machine learning (ML) models for predicting overall mortality in ultrasound-proven NAFLD patients and compared their performance with conventional non-inv...

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Literature Corpus work
21d33bc5-b8b3-5a75-b1a1-3e5c9b9f4c6f
DOI
10.1101/2024.07.10.24310253
Open publication

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Machine learning-based mortality prediction models for non-alcoholic fatty liver disease in the general United States populationDOI 10.1101/2024.07.10.24310253
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