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...

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Detaylı Bibliyografya
Asıl Yazarlar:	Carlo Dindorf, Jürgen Konradi, Claudia Wolf, Bertram Taetz, Gabriele Bleser, Janine Huthwelker, Friederike Werthmann, Eva Bartaguiz, Johanna Kniepert, Philipp Drees, Ulrich Betz, Michael Fröhlich
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2021-09-01
Seri Bilgileri:	Sensors
Konular:	spine machine learning artificial intelligence data mining biomechanics back pain
Online Erişim:	https://www.mdpi.com/1424-8220/21/18/6323
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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