Machine learning to predict completion of treatment for pancreatic cancer.

Shamsher A PashaAbdullah KhalidTodd LevyLyudmyla DemyanSarah HartmanElliot NewmanMatthew J WeissDaniel A KingTheodoros ZanosMarcovalerio Melis

Published in: Journal of surgical oncology (2024)

Our findings underscore the potential of ML to forecast PC treatment completion, highlighting the importance of specific preoperative factors. Increasing data volumes may enhance predictive accuracy, offering valuable insights for personalized patient strategies.

Keyphrases

machine learning
patients undergoing
big data
case report
combination therapy
artificial intelligence
risk assessment
climate change
replacement therapy
smoking cessation