Prediction of neurological outcome after pediatric cardiac arrest using heart rate variability and machine learning.
Silva LEV; Balcarcel D; Ko TS; Morgan RW; Berg RA; Topjian A; Tsui FR; Kirschen MP · 2026 · Resuscitation
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Aims Heart rate variability (HRV), a non-invasive measure of autonomic function, may offer prognostic value after pediatric cardiac arrest. We used machine learning models to determine whether HRV features within the first 24 h after…
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Metadata source: Europe PMC · DOI 10.1016/j.resuscitation.2026.110961