Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data

Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data

Article full text The above video represents the opinions of the authors. For a full list of declarations, including funding and author disclosure statements, please see the full text online (see “read the peer-reviewed publication” opposite). © The authors, CC-BY-NC 2021.

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: on behalf of, Adis journals, Rehberg, Markus, Giegerich, Clemens, Praestgaard, Amy, Hoogstraten, Hubert van, Iglesias-Rodriguez, Melitza, Curtis, Jeffrey R, Gottenberg, Jacques-Eric, Schwarting, Andreas, Castañeda, Santos, Rubbert-Roth, Andrea, Choy, Ernest HS
Format: Video
Sprache:eng
Schlagworte:
FOS: Clinical medicine
Medicine
Rheumatology and Arthritis
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Article full text The above video represents the opinions of the authors. For a full list of declarations, including funding and author disclosure statements, please see the full text online (see “read the peer-reviewed publication” opposite). © The authors, CC-BY-NC 2021.
DOI:10.6084/m9.figshare.14512056