Open Medicine
(Sep 2024)
Laboratory variables‐based artificial neural network models for predicting fatty liver disease: A retrospective study
Lv Panpan,
Cao Zhen,
Zhu Zhengqi,
Xu Xiaoqin,
Zhao Zhen
Affiliations
Lv Panpan
Department of Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China
Cao Zhen
Department of Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China
Zhu Zhengqi
Department of Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China
Xu Xiaoqin
Department of Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China
Zhao Zhen
Department of Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China
DOI
https://doi.org/10.1515/med-2024-1031
Journal volume & issue
Vol. 19,
no. 1
pp.
851
– 61
Abstract
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The efficacy of artificial neural network (ANN) models employing laboratory variables for predicting fatty liver disease (FLD) remains inadequately established. The study aimed to develop ANN models to precisely predict FLD.
Keywords
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