Diagnosis of neuropathies in diabetic patients by applying machine learning

ABSTRACT This article describes the construction of classification models by applying machine learning algorithms, in the kinesiological domain of neuropathy diagnosis, in patients with diabetes. The process is developed using the Cross Industry Standard Process for Data Mining guide (CRISP-DM), acc...

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Autores principales:	Meneses Villegas,Claudio, Coo Aqueveque,David
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2021
Materias:	center of pressure classification CRISP-DM data mining diabetes diabetic neuropathy
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000300517
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spelling	oai:scielo:S0718-330520210003005172021-11-19Diagnosis of neuropathies in diabetic patients by applying machine learningMeneses Villegas,ClaudioCoo Aqueveque,David center of pressure classification CRISP-DM data mining diabetes diabetic neuropathy ABSTRACT This article describes the construction of classification models by applying machine learning algorithms, in the kinesiological domain of neuropathy diagnosis, in patients with diabetes. The process is developed using the Cross Industry Standard Process for Data Mining guide (CRISP-DM), according to the general process of Knowledge Discovery in Databases (KDD). The main objective of the research is to build a model for classifying the condition of diabetic neuropathy in patients, using the data recorded by the expert and, mainly, by using a Wii Balance Board to capture the postural variations of a subject undergoing a series of clinical evaluations. In this research, the results obtained in each phase of the process are analyzed and the degree of achievement of objectives and performance metrics in the evaluation of machine learning models are measured. The results obtained will be expanded with the analysis of time series and the extraction of features, under the hypothesis that the center of pressure (COP) is a sufficient and reliable predictor to discriminate against the existence of a neuropathy.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.29 n.3 20212021-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000300517en10.4067/S0718-33052021000300517
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	center of pressure classification CRISP-DM data mining diabetes diabetic neuropathy
spellingShingle	center of pressure classification CRISP-DM data mining diabetes diabetic neuropathy Meneses Villegas,Claudio Coo Aqueveque,David Diagnosis of neuropathies in diabetic patients by applying machine learning
description	ABSTRACT This article describes the construction of classification models by applying machine learning algorithms, in the kinesiological domain of neuropathy diagnosis, in patients with diabetes. The process is developed using the Cross Industry Standard Process for Data Mining guide (CRISP-DM), according to the general process of Knowledge Discovery in Databases (KDD). The main objective of the research is to build a model for classifying the condition of diabetic neuropathy in patients, using the data recorded by the expert and, mainly, by using a Wii Balance Board to capture the postural variations of a subject undergoing a series of clinical evaluations. In this research, the results obtained in each phase of the process are analyzed and the degree of achievement of objectives and performance metrics in the evaluation of machine learning models are measured. The results obtained will be expanded with the analysis of time series and the extraction of features, under the hypothesis that the center of pressure (COP) is a sufficient and reliable predictor to discriminate against the existence of a neuropathy.
author	Meneses Villegas,Claudio Coo Aqueveque,David
author_facet	Meneses Villegas,Claudio Coo Aqueveque,David
author_sort	Meneses Villegas,Claudio
title	Diagnosis of neuropathies in diabetic patients by applying machine learning
title_short	Diagnosis of neuropathies in diabetic patients by applying machine learning
title_full	Diagnosis of neuropathies in diabetic patients by applying machine learning
title_fullStr	Diagnosis of neuropathies in diabetic patients by applying machine learning
title_full_unstemmed	Diagnosis of neuropathies in diabetic patients by applying machine learning
title_sort	diagnosis of neuropathies in diabetic patients by applying machine learning
publisher	Universidad de Tarapacá.
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000300517
work_keys_str_mv	AT menesesvillegasclaudio diagnosisofneuropathiesindiabeticpatientsbyapplyingmachinelearning AT cooaquevequedavid diagnosisofneuropathiesindiabeticpatientsbyapplyingmachinelearning
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Diagnosis of neuropathies in diabetic patients by applying machine learning

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