TY - GEN
T1 - Classification of Respiratory Diseases Using the NAO Robot
AU - Rodriguez, Rafael Andrade
AU - Ferroa-Guzman, Jireh
AU - Ugarte, Willy
N1 - Publisher Copyright:
© 2023 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2023
Y1 - 2023
N2 - 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 cor-respond 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 the Nao Robot. Additionally, it has been possible to predict respiratory diseases, which also helps the doctor to have a notion of the patient prognosis.
AB - 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 cor-respond 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 the Nao Robot. Additionally, it has been possible to predict respiratory diseases, which also helps the doctor to have a notion of the patient prognosis.
KW - Classification
KW - NAO
KW - NLP
KW - Respiratory
UR - https://www.scopus.com/pages/publications/85174524408
U2 - 10.5220/0011782700003411
DO - 10.5220/0011782700003411
M3 - Contribución a la conferencia
AN - SCOPUS:85174524408
SN - 9789897586262
T3 - International Conference on Pattern Recognition Applications and Methods
SP - 940
EP - 947
BT - ICPRAM 2023 - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, Volume 1
A2 - De Marsico, Maria
A2 - Sanniti di Baja, Gabriella
A2 - Fred, Ana L.N.
PB - Science and Technology Publications, Lda
T2 - 12th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2023
Y2 - 22 February 2023 through 24 February 2023
ER -