Nothing Special   »   [go: up one dir, main page]
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Rafael Andrade Rodriguez ; Jireh Ferroa-Guzman and Willy Ugarte

Affiliation: Universidad Peruana de Ciencias Aplicadas, Lima, Peru

Keyword(s): Classification, NLP, NAO, Respiratory.

Abstract: This work proposes an interface that connects the NAO robot with a development environment in Azure Machine Learning Classic for the prediction of respiratory diseases. The developed code uses Machine Learning algorithms trained for the prediction of diseases and fatal symptoms in order to provide the user with a scope of his health status and the possible conditions associated with his age, sex, symptoms and severity. During this process, a brief discard of COVID-19 is made with the symptoms obtained, which indicates if they correspond to those of this disease. Additionally, we offer a friendly interaction with the NAO robot to facilitate the exchange of information and, at the end of the algorithm flow, it is always suggested to use a professional doctor to provide users with more details about their current status based on the overall results obtained. The tests carried out on the work show that it is possible to speed up the time of care in medical care centers in Peru through th e Nao Robot. Additionally, it has been possible to predict respiratory diseases, which also helps the doctor to have a notion of the patient prognosis. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 65.254.225.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Andrade Rodriguez, R.; Ferroa-Guzman, J. and Ugarte, W. (2023). Classification of Respiratory Diseases Using the NAO Robot. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-626-2; ISSN 2184-4313, SciTePress, pages 940-947. DOI: 10.5220/0011782700003411

@conference{icpram23,
author={Rafael {Andrade Rodriguez}. and Jireh Ferroa{-}Guzman. and Willy Ugarte.},
title={Classification of Respiratory Diseases Using the NAO Robot},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2023},
pages={940-947},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011782700003411},
isbn={978-989-758-626-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Classification of Respiratory Diseases Using the NAO Robot
SN - 978-989-758-626-2
IS - 2184-4313
AU - Andrade Rodriguez, R.
AU - Ferroa-Guzman, J.
AU - Ugarte, W.
PY - 2023
SP - 940
EP - 947
DO - 10.5220/0011782700003411
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

<style> #socialicons>a span { top: 0px; left: -100%; -webkit-transition: all 0.3s ease; -moz-transition: all 0.3s ease-in-out; -o-transition: all 0.3s ease-in-out; -ms-transition: all 0.3s ease-in-out; transition: all 0.3s ease-in-out;} #socialicons>ahover div{left: 0px;} </style>