Work

Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population

Year: 2023

Type: article

Study design: Observational Study

Source: Neural Computing and Applications

DOI: 10.1007/s00521-023-09312-3

Authors: Tiago D. Martins, Sandra D. Martins, Silmara Montalvão, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Letícia Q. Silva, Stephany C. Huber, Tassiana S. P. Diaz, Carolina Wroclawski, Cyrillo Cavalheiro Filho, Rubens Maciel-Filho, Joyce M. Annichino-Bizzacchi

Institutions: Universidade Federal de São Paulo, Universidade Estadual de Campinas (UNICAMP), Hospital São Paulo, Hospital Sírio-Libanês

Language: English

Topic: COVID-19 diagnosis using AI

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Fundação de Amparo à Pesquisa do Estado de São Paulo

Award: Investigation of the pathophysiological aspects and novel therapeutic approaches for thromboembolic disorders

OpenAlex ID: W4389607635

FWCI: 1.752

Cites: 61

Cited by: 13

Related to: 10