loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Aratã Andrade Saraiva 1 ; 2 ; 3 ; 4 ; 5 ; João Paulo Oliveira da Silva 2 ; 6 ; José Sousa 1 ; N. Ferreira 7 ; 8 ; 9 ; Salviano Soares 5 ; 4 ; 3 and António Valente 9 ; 3

Affiliations: 1 State University of Piaui, Piripiri, Piaui, Brazil ; 2 LSC-EGN, Rio de Janeiro, Brazil ; 3 School of Sciences and Technology-Engineering Department (UTAD), Vila Real, Portugal ; 4 Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal ; 5 Intelligent Systems Associate Laboratory (LASI), Portugal ; 6 Faculty of Technology of Piaui, Teresina, Piaui, Brazil ; 7 ISEC Institute of Engineering of Coimbra, Coimbra, Portugal ; 8 Knowledge Engineering and Decision-Support Research Center (GECAD) of the Institute of Engineering, Polytechnic Institute of Porto, Portugal ; 9 INESC-TEC Technology and Science, Porto, Portugal

Keyword(s): COVID, Artificial Intelligence, Quantum Computing, Diagnostics.

Abstract: The work seeks to develop an expert prediction system based on artificial intelligence that can serve as a tool for healthcare professionals, as a diagnostic aid when estimating whether a patient with COVID will show rapid clinical improvement or whether they will be intubated. Such a system is important for hospital management in relation to the acquisition of materials, in addition to enabling early treatment of patients with COVID. The predictive analysis algorithm for screening COVID patients addressed was the Variational Quantum Classifier (VQC) and Deep Neural Networks (DNN). As a result, an accuracy of 90% was obtained for DNN and 96% for VQC.

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 3.137.199.214

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 Saraiva, A.; Paulo Oliveira da Silva, J.; Sousa, J.; Ferreira, N.; Soares, S. and Valente, A. (2024). Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 111-116. DOI: 10.5220/0012351100003657

@conference{biodevices24,
author={Aratã {Andrade Saraiva}. and João {Paulo Oliveira da Silva}. and José Sousa. and N. Ferreira. and Salviano Soares. and António Valente.},
title={Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES},
year={2024},
pages={111-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012351100003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES
TI - Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients
SN - 978-989-758-688-0
IS - 2184-4305
AU - Andrade Saraiva, A.
AU - Paulo Oliveira da Silva, J.
AU - Sousa, J.
AU - Ferreira, N.
AU - Soares, S.
AU - Valente, A.
PY - 2024
SP - 111
EP - 116
DO - 10.5220/0012351100003657
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