Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study

Yu, Hang; Cavalcanti, Alexandre Biasi; Tonelli, Roberto; Bates, Declan G.; NIVPredict study group; Esquinas, Antonio M.; Saffaran, Sina; de Lima, Lucas Martins; Grieco, Domenico L.; Weaver, Liam; Camporota, Luigi; Samadi, Moein Einollahzadeh; Clini, Enrico; Kawano-Dourado, Letícia; Maia, Israel S.; Ali, Abdisamad; Gemelli, A.; Zhang, Qingchen; Menga, Luca S.; Schuppert, Andreas; Laffey, John G.; Antonelli, Massimo; Scott, Timothy E.

doi:pmid:40637771

Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study

Yu, Hang ; Saffaran, Sina ; Maia, Israel S. ; Clini, Enrico (Corresponding author) ; Bates, Declan G. ; NIVPredict study group (Collaboration author) ; Weaver, Liam (Contributor) ; Tonelli, Roberto (Contributor) ; Menga, Luca S. (Contributor) ; Gemelli, A. (Contributor) ; Zhang, Qingchen (Contributor) ; Samadi, Moein Einollahzadeh (Contributor)^RWTH* ; Schuppert, Andreas (Contributor)^RWTH* ; Laffey, John G. (Contributor) ; Camporota, Luigi (Contributor) ; Scott, Timothy E. (Contributor) ; Ali, Abdisamad (Contributor) ; Esquinas, Antonio M. (Contributor) ; Grieco, Domenico L. (Contributor) ; Antonelli, Massimo (Contributor) ; de Lima, Lucas Martins (Contributor) ; Kawano-Dourado, Letícia (Contributor) ; Cavalcanti, Alexandre Biasi (Contributor)

In
Intensive care medicine 51(8), Seiten/Artikel-Nr.:1542-1544

2025

ImpressumBerlin ; Heidelberg : Springer

ISSN1432-1238

Online
DOI: 10.1007/s00134-025-08025-6
10.1007/s00134-025-08025-6

Einrichtungen

Institut und Lehrstuhl für Computational Biomedicine (Lehrstuhl Computational Biomedicine II)

Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105012019672
WOS Core Collection: WOS:001528339000001
PubMed: pmid:40637771

Interne Identnummern
RWTH-CONV-255792
Datensatz-ID: 1031454

Beteiligte Länder
Brazil, Canada, Germany, Ireland, Italy, Peoples R China, UK

Lizenzstatus der Zeitschrift

; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 30 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Medicine (Fac.10)
Public records
530000\-4
Publications database

Record created 2026-03-11, last modified 2026-07-31

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Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study

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