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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study
المؤلفون المشاركون
Gómez-Pozos, Heberto
Sánchez-DelaCruz, Eddy
Weber, Roberto
Biswal, R. R.
Mejía, Jose
Hernández-Chan, Gandhi
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-19
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building.
In other words, machine learning enables an automaton to make its own decisions based on a previous training process.
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 “support for diabetic neuropathy (DN) recognition.” 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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sánchez-DelaCruz, Eddy& Weber, Roberto& Biswal, R. R.& Mejía, Jose& Hernández-Chan, Gandhi& Gómez-Pozos, Heberto. 2019. Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1130542
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sánchez-DelaCruz, Eddy…[et al.]. Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1130542
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sánchez-DelaCruz, Eddy& Weber, Roberto& Biswal, R. R.& Mejía, Jose& Hernández-Chan, Gandhi& Gómez-Pozos, Heberto. Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1130542
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130542
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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