The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

Journal: The Journal of surgical research

Published Date: Mar 1, 2021

Abstract

BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal hernia repair.

Authors

Jeff Gao

Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey.
Pavel Zagadailov

Clinical Outcomes Research Group, CORG LLC, Grantham, New Hampshire.
Aziz M Merchant

Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey. Electronic address: Aziz.merchant@rutgers.edu.

Keywords

Adolescent Adult Aged Aged, 80 and over Elective Surgical Procedures Feasibility Studies Female Hernia, Inguinal Herniorrhaphy Hospital Mortality Humans Logistic Models Male Middle Aged Neural Networks, Computer Patient Readmission Postoperative Complications Quality Improvement Risk Assessment Risk Factors Treatment Outcome Young Adult

External Resources

View on PubMed Access via DOI PubMed (33097206)

The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

Abstract

Authors

Keywords

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