Publications by authors named "Logan B Abel"
Dis Colon Rectum
May 2024
Article Synopsis
- Researchers investigated how machine learning algorithms can predict complications after colectomy surgery for colonic neoplasia, aiming to enhance accuracy compared to traditional statistical methods.
- The study used data from the National Inpatient Sample database (2003-2017) and included 14,935 adult patients who underwent elective colectomy, analyzing outcomes such as anastomotic leaks and inpatient mortality.
- Among the machine learning models tested—decision tree, random forest, and artificial neural networks—the neural network performed best in predicting complications, achieving high accuracy with area under the receiver operating characteristic curve scores ranging from 0.84 to 0.93 for various outcomes.
