Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database ( NCD )

Documenti analoghi

• Trends in Gender Disparities in Surgical Experience: A National Clinical Database Study
  di: Chie Tanaka, et al.
  Pubblicazione: (2025)
• Influence of Facility Size on Perioperative Outcomes in Minimally Invasive Esophagectomy for 14 152 Patients With Esophageal Cancer Based on the Japanese National Clinical Database: A Multicenter Cohort Study
  di: Taro Oshikiri, et al.
  Pubblicazione: (2025)
• Updated risk prediction model for pancreaticoduodenectomy using data from the National Clinical Database in Japan
  di: Masamichi Mizuma, et al.
  Pubblicazione: (2024)
• Impact of Intraoperative Fluid Volume on Complications After Minimally Invasive Esophagectomy: Analysis of 8782 Patients From the Japanese National Clinical Database
  di: Akihiko Okamura, et al.
  Pubblicazione: (2025)
• Annual report on National Clinical Database 2021 for gastroenterological surgery in Japan
  di: Sunao Ito, et al.
  Pubblicazione: (2024)