Idiopathic Pulmonary Fibrosis Mortality Risk Prediction Based on Artificial Intelligence: The CTPF Model

Background: Idiopathic pulmonary fibrosis (IPF) needs a precise prediction method for its prognosis. This study took advantage of artificial intelligence (AI) deep learning to develop a new mortality risk prediction model for IPF patients. Methods: We established an artificial intelligence honeycomb...

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Detalles Bibliográficos
Autores principales: Wu, Xuening, Yin, Chengsheng, Chen, Xianqiu, Zhang, Yuan, Su, Yiliang, Shi, Jingyun, Weng, Dong, Jiang, Xing, Zhang, Aihong, Zhang, Wenqiang, Li, Huiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086624/
https://www.ncbi.nlm.nih.gov/pubmed/35559265
http://dx.doi.org/10.3389/fphar.2022.878764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086624/
https://www.ncbi.nlm.nih.gov/pubmed/35559265
http://dx.doi.org/10.3389/fphar.2022.878764

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