Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence.
Journal:
Computers in biology and medicine
Published Date:
Jan 3, 2024
Abstract
BACKGROUND: In intensive care units (ICUs), accurate mortality prediction is crucial for effective patient management and resource allocation. The Simplified Acute Physiology Score II (SAPS-2), though commonly used, relies heavily on comprehensive clinical data and blood samples. This study sought to develop an artificial intelligence (AI) model utilizing key hemodynamic parameters to predict ICU mortality within the first 24 h and assess its performance relative to SAPS-2.