← Evidence map

ArticleFrontiers in medicine2026

Interpretable machine learning models using early dynamic clinical features to predict early hemodynamic stabilization after vasopressor initiation in patients with septic shock: development in MIMIC-IV and external validation in eICU.

Shu-Jiao Lu et al.PubMed ↗Full text ↗Publisher ↗

No numbers read from the abstract.

Not cited yet

Interpretable machine learning models using early dynamic clinical features to predict early hemodynamic stabilization after vasopressor initiation in patients with septic shock: development in MIMIC-IV and external validation in eICU. | OpenQuestion