Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer

• Ngā kaituhi matua: Mengjie Wu (Author), Xiaofan Yang (Author), Yuxi Liu (Author), Feng Han (Author), Xi Li (Author), Jufeng Wang (Author), Dandan Guo (Author), Xiance Tang (Author), Lu Lin (Author), Changpeng Liu (Author)
• Hōputu: Pukapuka
• I whakaputaina: BMC, 2024-03-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

Abstract Background Deep learning (DL), a specialized form of machine learning (ML), is valuable for forecasting survival in various diseases. Its clinical applicability in real-world patients with gastric cancer (GC) has yet to be extensively validated. Methods A combined cohort of 11,414 GC patien...