Dysgraphia detection through machine learning

Dysgraphia, a disorder affecting the written expression of symbols and words, negatively impacts the academic results of pupils as well as their overall well-being. The use of automated procedures can make dysgraphia testing available to larger populations, thereby facilitating early intervention fo...

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Veröffentlicht in:	Scientific reports Jg. 10; H. 1; S. 21541 - 11
Hauptverfasser:	Drotár, Peter, Dobeš, Marek
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 09.12.2020 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166/987 692/308/2778 Adolescent Agraphia - diagnosis Algorithms Case-Control Studies Child Data Accuracy Female Handedness Handwriting Humanities and Social Sciences Humans Learning algorithms Machine Learning Male multidisciplinary Science Science (multidisciplinary) Well being
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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