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http://dx.doi.org/10.21037/atm.2020.03.179DOI Listing

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  • Assessing illness severity in ICU patients is vital for predicting deterioration and prognosis, but traditional methods often disregard the interconnectedness of organ systems.
  • This study introduced a novel approach using transfer entropy (TE) to analyze the information flow between heart rate, respiratory rate, and oxygen saturation in sepsis patients, hypothesizing a correlation between TE and patient outcomes.
  • Findings indicated that specific patterns of information flow were linked to reduced mortality and lower risk of deterioration, emphasizing that physiological network mapping could effectively indicate illness severity in critically ill patients.
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