Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest

  1. Urteaga, J.
  2. Elola, A.
  3. Norvik, A.
  4. Unneland, E.
  5. Eftestøl, T.C.
  6. Bhardwaj, A.
  7. Buckler, D.
  8. Abella, B.S.
  9. Skogvoll, E.
  10. Aramendi, E.
Revue:
Resuscitation Plus

ISSN: 2666-5204

Année de publication: 2024

Volumen: 17

Type: Article

DOI: 10.1016/J.RESPLU.2024.100598 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus