Prediction of ineffectiveness of biological drugs using machine learning and explainable AI methods: data from the Austrian Biological Registry BioReg

Prediction of ineffectiveness of biological drugs using machine learning and explainable AI methods: data from the Austrian Biological Registry BioReg

Abstract Objectives Machine learning models can support an individualized approach in the choice of bDMARDs. We developed prediction models for 5 different bDMARDs using machine learning methods based on patient data derived from the Austrian Biologics Registry (BioReg). Methods Data from 1397 patie...

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Bibliographic Details
Main Authors: Dubravka Ukalovic, Burkhard F. Leeb, Bernhard Rintelen, Gabriela Eichbauer-Sturm, Peter Spellitz, Rudolf Puchner, Manfred Herold, Miriam Stetter, Vera Ferincz, Johannes Resch-Passini, Jochen Zwerina, Marcus Zimmermann-Rittereiser, Ruth Fritsch-Stork
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
bDMARD
Machine learning
Routinely collected data
DMARDs
Online Access:https://doi.org/10.1186/s13075-024-03277-x

Internet

https://doi.org/10.1186/s13075-024-03277-x

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