Integrating Machine Learning and the SHapley Additive exPlanations (SHAP) Framework to Predict Lymph Node Metastasis in Gastric Cancer Patients Based on Inflammation Indices and Peripheral Lymphocyte Subpopulations

Integrating Machine Learning and the SHapley Additive exPlanations (SHAP) Framework to Predict Lymph Node Metastasis in Gastric Cancer Patients Based on Inflammation Indices and Peripheral Lymphocyte Subpopulations

Ziyu Zhu,1,* Cong Wang,1,* Lei Shi,2 Mengya Li,3 Jiaqi Li,3 Shiyin Liang,3 Zhidong Yin,1 Yingwei Xue1 1Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin, People’s Republic of China; 2Department of Oncology, Beidahuang Industry Group General...

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Bibliographic Details
Main Authors: Zhu Z, Wang C, Shi L, Li M, Li J, Liang S, Yin Z, Xue Y
Format: Article
Language:English
Published: Dove Medical Press 2024-11-01
Series:Journal of Inflammation Research
Subjects:
machine learning、shap framework、lymph node metastasis、gastric cancer、 inflammation indices、 peripheral lymphocyte subpopulations
Online Access:https://www.dovepress.com/integrating-machine-learning-and-the-shapley-additive-explanations-sha-peer-reviewed-fulltext-article-JIR

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https://www.dovepress.com/integrating-machine-learning-and-the-shapley-additive-explanations-sha-peer-reviewed-fulltext-article-JIR

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