Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data

Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data

Abstract Background Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesity on PD remains controversial. We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine learning (ML)-driven predictive and pr...

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Bibliographic Details
Main Authors: Jiaxin Fan, Shuai Cao, Hang Peng, Yuanjie Zhi, Shuqin Zhan, Rui Li
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Lipids in Health and Disease
Subjects:
Parkinson's disease
Obesity pattern
Association
Multiple machine learning
Prediction model
Shapley additive explanations
Online Access:https://doi.org/10.1186/s12944-025-02664-w
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https://doi.org/10.1186/s12944-025-02664-w

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