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

• Main Authors: Xuening Wu (Author), Chengsheng Yin (Author), Xianqiu Chen (Author), Yuan Zhang (Author), Yiliang Su (Author), Jingyun Shi (Author), Dong Weng (Author), Xing Jiang (Author), Aihong Zhang (Author), Wenqiang Zhang (Author), Huiping Li (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...