Identification of diagnostic and prognostic signatures derived from preoperative blood parameters for oral squamous cell carcinoma

BACKGROUND: We aimed to develop novel diagnostic and prognostic signatures based on preoperative inflammatory, immunological, and nutritional parameters in blood (PIINPBs) by machine learning algorithms for patients with oral squamous cell carcinoma (OSCC). METHODS: A total of 486 OSCC patients and...

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Detalles Bibliográficos
Autores principales: Wu, Xiang, Yao, Yuan, Dai, Yibin, Diao, Pengfei, Zhang, Yuchao, Zhang, Ping, Li, Sheng, Jiang, Hongbing, Cheng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421978/
https://www.ncbi.nlm.nih.gov/pubmed/34532357
http://dx.doi.org/10.21037/atm-21-631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421978/
https://www.ncbi.nlm.nih.gov/pubmed/34532357
http://dx.doi.org/10.21037/atm-21-631

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