Gait biomarkers classification by combining assembled algorithms and deep learning: results of a local study

DOI10.1155/2019/3515268zbMath1431.92066OpenAlexW2995443069WikidataQ92616714 ScholiaQ92616714MaRDI QIDQ2299905

Eddy Sánchez-DelaCruz, R. R. Biswal, Gandhi Hernández-Chan, Roberto A. Weber, Heberto Gómez-Pozos, José Mejia

Publication date: 24 February 2020

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/3515268

zbMATH Keywords

deep learningassembled algorithmsdiabetic neuropathy recognitiongait biomarkers classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Artificial neural networks and deep learning (68T07) Medical applications (general) (92C50)

Uses Software

• Auto-WEKA

Cites Work

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