Can machine learning predict resecability of a peritoneal carcinomatosis?
Journal:
Surgical oncology
Published Date:
Jun 1, 2019
Abstract
BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures are called 'open & close' (O & C) representing up to 48% of surgery. The objective of this study was to predict the resecability of peritoneal carcinomatosis using a machine-learning model for decision-making support, for eligible patients of HIPEC.