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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
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 |
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