Analysis of graphomotor tests with machine learning algorithms for an early and universal pre-diagnosis of dysgraphia

HIGHLIGHTS

  • who: Louis Devillaine and collaborators from the CNRS, University Grenoble Alpes, University Savoie Mont Blanc, LPNC, Grenoble, France have published the research: Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia, in the Journal: Sensors 2021, 7026 of /2021/
  • what: The authors propose a pre-diagnosis tool for dysgraphia using drawings called graphomotor tests. The authors evaluate several machinelearning models and compare them to build this tool. The aim of this study is to design a pre-diagnosis tool that would help the examiners and give a . . .

     

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