The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Journal: Techniques in coloproctology

Published Date: Jun 19, 2015

Abstract

BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal cancer surgery.

Authors

N K Francis

Department of General Surgery, Yeovil District Hospital, Higher Kingston, Yeovil, BA21 4AT, UK, nader.francis@ydh.nhs.uk.
A Luther
E Salib
L Allanby
D Messenger
A S Allison
N J Smart
J B Ockrim

Keywords

Aftercare Area Under Curve Colectomy Colorectal Neoplasms Female Humans Laparoscopy Length of Stay Logistic Models Male Neoadjuvant Therapy Neural Networks, Computer Patient Compliance Patient Discharge Patient Readmission Prospective Studies Retrospective Studies Time Factors

External Resources

View on PubMed Access via DOI PubMed (26084884)

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals