A novel staging system derived from natural language processing of pathology reports to predict prognostic outcomes of pancreatic cancer: a retrospective cohort study

OBJECTIVE: To construct a novel tumor-node-morphology (TNMor) staging system derived from natural language processing (NLP) of pathology reports to predict outcomes of pancreatic ductal adenocarcinoma. METHOD: This retrospective study with 1657 participants was based on a large referral center and T...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Bo, Wang, Beilei, Zhuang, Pengjie, Cao, Hongwei, Wu, Shengyong, Tan, Zhendong, Gao, Suizhi, Li, Penghao, Jing, Wei, Shao, Zhuo, Zheng, Kailian, Wu, Lele, Gao, Bai, Wang, Yang, Jiang, Hui, Guo, Shiwei, He, Liang, Yang, Yan, Jin, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651292/
https://www.ncbi.nlm.nih.gov/pubmed/37578452
http://dx.doi.org/10.1097/JS9.0000000000000648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651292/
https://www.ncbi.nlm.nih.gov/pubmed/37578452
http://dx.doi.org/10.1097/JS9.0000000000000648

Ejemplares similares