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"Data-Driven Identification of Stroke through Machine Learning Applied to ..."

Francesco Romano et al. (2024)

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DOI: 10.3390/E26070578

access: open

type: Journal Article

metadata version: 2024-10-06

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  dblp key:
  - journals/entropy/RomanoFCRCMMP24
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  persistent URL:
  - https://dblp.org/rec/journals/entropy/RomanoFCRCMMP24
Francesco Romano, Damiano Formenti, Daniela Cardone, Emanuele Francesco Russo, Paolo Castiglioni, Giampiero Merati, Arcangelo Merla, David Perpetuini:
Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics. Entropy 26(7): 578 (2024)

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