Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.
Journal:
Clinical chemistry and laboratory medicine
Published Date:
Nov 11, 2022
Abstract
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods for evaluating patients with suspected sepsis using data from routinely available blood tests performed on arrival at the hospital. Results were compared with those obtained from the classical logistic regression method.