Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort

Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort

Background Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver disease worldwide. Cardiovascular disease (CVD) is the leading cause of mortality among patients with NAFLD. The aim of our study was to develop a machine learning algorithm integrating clinical, lifestyle, and genetic r...

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Bibliographic Details
Main Authors: Divya Sharma, Neta Gotlieb, Michael E. Farkouh, Keyur Patel, Wei Xu, Mamatha Bhat
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiovascular disease
machine learning
nonalcoholic fatty liver disease
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.121.022576

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.121.022576

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