Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups

Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups

Patients with back pain are common and present a challenge in everyday medical practice due to the multitude of possible causes and the individual effects of treatments. Predicting causes and therapy efficien cy with the help of artificial intelligence could improve and simplify the treatment. In an...

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Autores principales: André Wirries, Florian Geiger, Ahmed Hammad, Andreas Redder, Ludwig Oberkircher, Steffen Ruchholtz, Ingmar Bluemcke, Samir Jabari
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
artificial intelligence
supervised
unsupervised
machine learning
methodology
back pain
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/01cc7a365c33491e8bf35bd05d1831db
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https://doaj.org/article/01cc7a365c33491e8bf35bd05d1831db

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