Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty

Despite the increasing application of machine learning and computational intelligence algorithms in medicine and physiotherapy, accurate classification and prognosis algorithms for postoperative patients in the rehabilitation phase are still lacking. The present study was carried out in two phases....

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Veröffentlicht in:	Bioengineering (Basel) Jg. 12; H. 2; S. 150
Hauptverfasser:	Vrouva, Sotiria, Koumantakis, George A., Sopidou, Varvara, Tatsios, Petros I., Raptis, Christos, Adamopoulos, Adam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.02.2025 MDPI
Schlagworte:	Accuracy Algorithms Arthroplasty Artificial intelligence Classification Cluster analysis Clustering Comparative analysis Computer applications Data mining Datasets Genetic algorithms Genomes hybrid machine learning algorithms Intelligence Joint replacement surgery Learning algorithms Machine learning Optimization Orthopedics Patient satisfaction Physical therapy Prognosis Rehabilitation reverse total shoulder arthroplasty prognosis Shoulder Test sets Therapeutics, Physiological Vector quantization Greece Thrace hybrid machine learning algorithms reverse total shoulder arthroplasty prognosis genetic algorithms
ISSN:	2306-5354, 2306-5354
Online-Zugang:	Volltext
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