Use of Machine Learning for Prediction of Patient Risk of Postoperative Complications After Liver, Pancreatic, and Colorectal Surgery.

Katiuscha MerathJ Madison HyerRittal MehtaAyesha FarooqFabio BaganteKota SaharaDiamantis I TsilimigrasEliza BealAnghela Z ParedesLu WuAslam EjazTimothy M Pawlik

Published in: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract (2019)

Machine learning was used to develop an algorithm that accurately predicted patient risk of developing complications following liver, pancreatic, or colorectal surgery. The algorithm had very good predictive ability to predict specific complications and demonstrated superiority over other established methods.

Keyphrases

machine learning
artificial intelligence
case report
deep learning
big data
risk factors
patients undergoing
neural network