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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Bibliographic Details

Published in:	Diagnostics
Main Authors:	Umile Giuseppe Longo, Calogero Di Naro, Simona Campisi, Carlo Casciaro, Benedetta Bandini, Ayoosh Pareek, Roberta Bruschetta, Giovanni Pioggia, Antonio Cerasa, Gennaro Tartarisco
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	rotator cuff outcome predictors machine learning ensemble of classifiers
Online Access:	https://www.mdpi.com/2075-4418/13/18/2915