… -based projection to precisely classify the trunk extension and … of these systems in
musculoskeletal rehabilitation therapy in … training with greater satisfactory precision than some …

… of each algorithm were accuracy, precision, recall and F1 score. Since here the problem
was a multiclass classification, performance measures such as precision, recall and F1 score …

… and then classified … classification problems. In this context, a new ensemble deep learning
topology is being proposed in the direction of a more precise classification of musculoskeletal …

… In comparing these classification systems, we found a relatively large number of musculoskeletal
disorders. When we grouped the disorder labels that we felt were clinically similar but …

… , it is concluded that we present a precise class-based comparison study. The aim behind
performing this comparative analysis is to conduct image classification based on proposed DL …

… As far as AUC-ROC and precision values are considered there occurs the rise of huge 21-32 …
The precision scores of LSTM and BiLSTM networks didn’t illustrate too satisfactory results. …

… to classify data and make predictions [26]. The PNN is a widely used classification prediction
… stage and outputs more and more feature maps of precise joint point positions. That is, the …

… Musculoskeletal disorders have been diagnosed for many years in the medical field. In the
eighteenth century the Italian physician Bernardino Ramazzini, was the first to recognize the …

… The purpose of this document on the prevention of musculoskeletal disorders is to inform …
help them recognise risks that may lead to musculoskeletal disorders, as well as to design work …

… Preoperative AI used in surgery includes classification and detection of diseases in which
… to conduct the surgery with greater precision and with minimal postoperative complications.…