Artificial Neural Network Individualised Prediction of Time to Colorectal Cancer Surgery.

ABSTRACT:

Aim

Colorectal cancer pathway targets mandate prompt treatment although practicalities may mean patients wait for surgery. This variable period could be utilised for patient optimisation; however, there is currently no reliable predictive system for time to surgery. If individualised surgical waits were prospectively known, tailored prehabilitation could be introduced.

Methods

A dedicated, prospectively populated elective laparoscopic surgery for colorectal cancer with a curative intent database was utilised. Primary endpoint was the prediction of the individualised waiting time for surgery. A multilayered perceptron artificial neural network (ANN) model was trained and tested alongside uni- and multivariate analyses.

Results

668 consecutive patients were included. 8.

SUBMITTER: Curtis NJ 

PROVIDER: S-EPMC6652036 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature