guest ::
A systematic review of machine learning-based prognostic models for acute pancreatitis: towards improving methods and reporting quality
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
In
PLoS medicine 22(2), Seiten/Artikel-Nr.:e1004432
2025
Online
DOI: 10.18154/RWTH-2025-02169
DOI: 10.1371/journal.pmed.1004432
URL: https://publications.rwth-aachen.de/record/1006001/files/1006001.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 610
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85219073634
WOS Core Collection: WOS:001429127700001
Interne Identnummern
RWTH-2025-02169
Datensatz-ID: 1006001
Beteiligte Länder
Germany, New Zealand, USA
; 
; 
; 
; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 15 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
|
The record appears in these collections: |
PDF