Machine learning for predicting the risk stratification of 1–5 cm gastric gastrointestinal stromal tumors based on CT

BACKGROUD: To predict the malignancy of 1–5 cm gastric gastrointestinal stromal tumors (GISTs) by machine learning (ML) on CT images using three models - Logistic Regression (LR), Decision Tree (DT) and Gradient Boosting Decision Tree (GBDT). METHODS: 231 patients from Center 1 were randomly assigne...

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Detalles Bibliográficos
Autores principales: Zhang, Cui, Wang, Jian, Yang, Yang, Dai, Bailing, Xu, Zhihua, Zhu, Fangmei, Yu, Huajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327391/
https://www.ncbi.nlm.nih.gov/pubmed/37415125
http://dx.doi.org/10.1186/s12880-023-01053-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327391/
https://www.ncbi.nlm.nih.gov/pubmed/37415125
http://dx.doi.org/10.1186/s12880-023-01053-y

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