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Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP).

Jae-Seung KangLydia MokJin Seok HeoIn-Woong HanSang-Hyun ShinYoo-Seok YoonHo-Seong HanDae-Wook HwangJae-Hoon LeeWoo Jung LeeSang-Jae ParkJoon-Seong ParkYong Hoon KimHuisong LeeYoung-Dong YuJae Do YangSeung-Eun LeeIl Young ParkChi Young JeongYoung Hoon RohSeong-Ryong KimJu Ik MoonSang-Kuon LeeHee Joon KimSeungYeoun LeeHyeong Seok KimWooil KwonChang-Sup LimJin-Young JangTaesung Park
Published in: Gut and liver (2021)
The survival prediction model for resected PDAC could provide quantitative survival probabilities with reliable performance. External validation studies with other nationwide databases are needed to evaluate the performance of this model.
Keyphrases
  • free survival
  • public health
  • cross sectional
  • lymph node
  • big data
  • risk factors
  • high resolution
  • machine learning
  • artificial intelligence