Application of Machine Learning Algorithms for Prognostic Assessment in Rotator Cuff Pathologies: A Clinical Data-Based Approach

Aim: The overall aim of this proposal is to ameliorate the care of rotator cuff (RC) tear patients by applying an innovative machine learning approach for outcome prediction after arthroscopic repair. Materials and Methods: We applied state-of-the-art machine learning algorithms to evaluate the best...

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Detalles Bibliográficos
Autores principales: Longo, Umile Giuseppe, Di Naro, Calogero, Campisi, Simona, Casciaro, Carlo, Bandini, Benedetta, Pareek, Ayoosh, Bruschetta, Roberta, Pioggia, Giovanni, Cerasa, Antonio, Tartarisco, Gennaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530213/
https://www.ncbi.nlm.nih.gov/pubmed/37761282
http://dx.doi.org/10.3390/diagnostics13182915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530213/
https://www.ncbi.nlm.nih.gov/pubmed/37761282
http://dx.doi.org/10.3390/diagnostics13182915

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