Breakthrough of Clinical Candida Cultures Identification Using the Analysis of Volatile Organic Compounds and Artificial Intelligence Methods-Reference-Cited by-同舟云学术

Breakthrough of Clinical Candida Cultures Identification Using the Analysis of Volatile Organic Compounds and Artificial Intelligence Methods

Published:2022-07-01 Issue:13 Volume:22 Page:12493-12503
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Castro Maria C. A.¹,Almeida Leandro M.²^ORCID,Ferreira Renan Williams M.²,Benevides Clayton A.³,Zanchettin Cleber²^ORCID,Menezes Frederico D.⁴^ORCID,Inacio Cicero P.¹^ORCID,de Lima-Neto Reginlado G.¹,Filho Jose Gilson A. T.⁵,Neves Rejane P.¹

Affiliation:

1. Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife, Brazil

2. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

3. Centro Regional de Ciências Nucleares do Nordeste, Comissão Nacional de Energia Nuclear, Recife, Brazil

4. Departamento de Mecânica, Instituto Federal de Pernambuco, Recife, Brazil

5. Centro de Ciências Sociais e Aplicadas, Universidade Federal de Pernambuco, Recife, Brazil

Funder

Nvidia

Fundao de Amparo Cincia e Tecnologia do Estado de Pernambuco

Coordenao de Aperfeioamento de Pessoal de Nvel Superior

Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9812846/09787085.pdf?arnumber=9787085

Reference30 articles.

1. Applied Predictive Modeling

2. Genetic diversity of medically important and emerging Candida species causing invasive infection

3. Candida glabrata: an emerging pathogen in Brazilian tertiary care hospitals

4. Identification of Candida species and susceptibility testing with Sensititre YeastOne microdilution panel to 9 antifungal agents

5. A method for early detection and identification of fungal contamination of building materials using e-nose

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