Analyzing risk factors and constructing a predictive model for superficial esophageal carcinoma with submucosal infiltration exceeding 200 micrometers

A logistic regression model complemented by SHAP visualizations effectively identifies early esophageal cancer reaching 200 micrometers into the submucosa.

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Publication Details

Journal
BMC Gastroenterology
Published
2024-10-06
DOI
https://doi.org/10.1186/s12876-024-03442-1
Citations
1
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.57
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article

Analyzing risk factors and constructing a predictive model for superficial esophageal carcinoma with submucosal infiltration exceeding 200 micrometers

Guangbing Hu, Zichen Luo, Lü Zhou, Haiyang Guo et al.
1 citations
BMC Gastroenterology
Esophageal Cancer Research and Treatment
0.57
article

Analyzing risk factors and constructing a predictive model for superficial esophageal carcinoma with submucosal infiltration exceeding 200 micrometers

Guangbing Hu, Zichen Luo, Lü Zhou, Haiyang Guo, Xianfei Wang, Xiaobo Wang, Xinrui Chen, Shiqi Liang, Ji Zuo, Yutong Cui
article en
1 citations

Abstract

A logistic regression model complemented by SHAP visualizations effectively identifies early esophageal cancer reaching 200 micrometers into the submucosa.

BMC GastroenterologyVol. 24(1)
Affiliated Hospital of North Sichuan Medical College (CN)
Openalex Percentile: Top 29%
Esophageal Cancer Research and Treatment
0.57
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