HIGHLIGHTS
- who: Aleksei Tiulpin from the Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland have published the research: Predicting total knee arthroplasty from ultrasonography using machine learning, in the Journal: (JOURNAL)
- what: The authors hypothesized that when used with advanced modeling methods, US could serve as a low-cost and easily available tool to predict TKR, and the authors aimed to investigate it in the present work. After computing the LOO-CV, the authors were able to test the performances of all the models described in Table 1. The authors report . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.