Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.
Journal:
BMJ open
Published Date:
Apr 10, 2018
Abstract
INTRODUCTION: Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forecast an individual patient's trajectory in real time remains poor. We propose to apply machine learning techniques to perioperative time-series data to develop algorithms for predicting adverse perioperative outcomes.