A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study

A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study

Background: Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver diseases worldwide. Currently, most NAFLD prediction models are diagnostic models based on cross-sectional data, which failed to provide early identification or clarify causal relationships. We aimed to use time-se...

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Bibliographic Details
Main Authors: Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Machine learning
Dynamic prediction
Time-series data
Checkup records
NAFLD
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023059662

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http://www.sciencedirect.com/science/article/pii/S2405844023059662

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