A new prognostic model of esophageal squamous cell carcinoma based on Cloud-least squares support vector machine

BACKGROUND: In view of the low accuracy of the prognosis model of esophageal squamous cell carcinoma (ESCC), this study aimed to optimize the least squares support vector machine (LSSVM) algorithm to determine the uncertain prognostic factors using a Cloud model, and consequently, to establish a new...

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Detalles Bibliográficos
Autores principales: Liu, Ke, Shen, Liu-Qing, Zhang, Dian-Bao, Kang, Yi-Xin, Wang, Yi-Xuan, Chen, Pan, Zhang, Ran, Gu, Bian-Li, Jiao, Ye-Lin, Yuan, Xiang, Qi, Yi-Jun, Gao, She-Gan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586994/
https://www.ncbi.nlm.nih.gov/pubmed/37868877
http://dx.doi.org/10.21037/jtd-23-1058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586994/
https://www.ncbi.nlm.nih.gov/pubmed/37868877
http://dx.doi.org/10.21037/jtd-23-1058

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