Explainable machine learning model and nomogram for predicting the efficacy of Traditional Chinese Medicine in treating Long COVID: a retrospective study

Explainable machine learning model and nomogram for predicting the efficacy of Traditional Chinese Medicine in treating Long COVID: a retrospective study

IntroductionLong COVID significantly affects patients' quality of life, yet no standardized treatment has been established. Traditional Chinese Medicine (TCM) presents a promising potential approach with targeted therapeutic strategies. This study aims to develop an explainable machine learning...

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Bibliographic Details
Main Authors: Jisheng Zhang, Yang Chen, Aijun Zhang, Yi Yang, Liqian Ma, Hangqi Meng, Jintao Wu, Kean Zhu, Jiangsong Zhang, Ke Lin, Xianming Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Medicine
Subjects:
machine learning
SHapley Additive exPlanations
nomogram
Traditional Chinese Medicine
Long COVID
efficacy
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1529993/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1529993/full

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