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Machine learning has revolutionized every research sector, including health care, by providing precise and accurate decisions involving minimal human interventions through pattern recognition. This is emphasized in this research, which addresses the issue of \u201csupport for diabetic neuropathy (DN) recognition.\u201d DN is a disease that affects a large proportion of the global population. In this research, we have used gait biomarkers of subjects representing a particular sector of population located in southern Mexico to identify persons suffering from DN. To do this, we used a home-made body sensor network to capture raw data of the walking pattern of individuals with and without DN. The information was then processed using three sampling criteria and 23 assembled classifiers, in combination with a deep learning algorithm. The architecture of the best combination was chosen and reconfigured for better performance. The results revealed a highly acceptable classification with greater than 85% accuracy when using these combined approaches.<\/jats:p>","DOI":"10.1155\/2019\/3515268","type":"journal-article","created":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T18:30:40Z","timestamp":1576780240000},"page":"1-14","source":"Crossref","is-referenced-by-count":18,"title":["Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2357-7799","authenticated-orcid":true,"given":"Eddy","family":"S\u00e1nchez-DelaCruz","sequence":"first","affiliation":[{"name":"Departamento de Posgrado, Instituto Tecnol\u00f3gico Superior de Misantla, Veracruz, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Weber","sequence":"additional","affiliation":[{"name":"Servicios M\u00e9dicos, Universidad Ju\u00e1rez Aut\u00f3noma de Tabasco, Villahermosa, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R. 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