Review began 12/14/2022 review ended 01/06/2023 published 01/16/2023 © copyright

HIGHLIGHTS

  • who: Manugraphy and collaborators from the Hand Surgery, Krankenhaus StJosef, Schweinfurt, D EU have published the research work: Review began 12/14/2022 Review ended 01/06/2023 Published 01/16/2023 u00a9 Copyright, in the Journal: (JOURNAL) of January/16,/2023
  • what: This study explores the use of a machine learning (ML) algorithm as a means to more accurately determine the sincerity or insincerity of grip force testing.
  • how: The data were analyzed using various ML algorithms including Random Forest Support Vector Machines Gradient Boosting Algorithm and XGBoost . The following 13 criteria . . .

     

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