Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit.
Journal:
The American journal of gastroenterology
PMID:
32341266
Abstract
INTRODUCTION: Acute gastrointestinal (GI) bleed is a common reason for hospitalization with 2%-10% risk of mortality. In this study, we developed a machine learning (ML) model to calculate the risk of mortality in intensive care unit patients admitted for GI bleed and compared it with APACHE IVa risk score. We used explainable ML methods to provide insight into the model's prediction and outcome.