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Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)

Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to develop a pathology-independent classifier that provi...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Carlo Dindorf, Jürgen Konradi, Claudia Wolf, Bertram Taetz, Gabriele Bleser, Janine Huthwelker, Friederike Werthmann, Eva Bartaguiz, Johanna Kniepert, Philipp Drees, Ulrich Betz, Michael Fröhlich
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-09-01
Schriftenreihe:Sensors
Schlagworte:
spine
machine learning
artificial intelligence
data mining
biomechanics
back pain
Online-Zugang:https://www.mdpi.com/1424-8220/21/18/6323
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