Prediction groups and prediction outcome categories. The three prediction groups were transfer from non-ICU to ICU care, transfer from ICU to non-ICU care, and non-ICU to non-ICU care (no transfer). The table lists the correct and incorrect prediction outcome categories for each prediction group and their sample size (see text for detailed explanation).

<p>Prediction groups and prediction outcome categories. The three prediction groups were transfer from non-ICU to ICU care, transfer from ICU to non-ICU care, and non-ICU to non-ICU care (no transfer). The table lists the correct and incorrect prediction outcome categories for each prediction...

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Bibliographic Details
Main Author:	Anita K. Patel (17134546) (author)
Other Authors:	Taylor Olson (10086007) (author), Christopher Ray (3877012) (author), Eduardo A. Trujillo-Rivera (21221885) (author), Hiroki Morizono (6167360) (author), Murray M. Pollack (5093639) (author)
Published:	2025
Subjects:	Medicine Microbiology Biotechnology Evolutionary Biology Cancer Mental Health Infectious Diseases Virology pediatric inpatients admitted neurologic vital signs machine learning algorithm future care needs th </ sup st </ sup future care locations icu prediction group false positive patients transfer prediction category assess patient characteristics false negative patients false negative compared true positive patients icu care locations care factors associated care factors patient characteristics true negative icu locations icu care false positives false negatives stay compared true positives true negatives icu vs icu lengths xlink "> significant differences respiratory failure primary diagnosis main outcome longer hospital less frequent incorrect predictions hourly cardio gaining insights criticality index clinical variables clinical assessment 400 remained 139 transitioned
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