LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19.

Huyut, Mehmet Tahir; Velichko, Andrei

Huyut, Mehmet Tahir; Velichko, Andrei.

Afiliación

Huyut MT; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yildirim University, 24000 Erzincan, Turkey.
Velichko A; Institute of Physics and Technology, Petrozavodsk State University, 33 Lenin Str., 185910 Petrozavodsk, Russia.

MethodsX ; 10: 102194, 2023.

Article en En | MEDLINE | ID: mdl-37122366

Palabras clave

Biochemical and hematological biomarkers; COVID-19; Detection of diagnosis and prognosis of COVID-19 with LogNNet deep neural network architecture; Feature selection method; LogNNet neural network; Routine blood values

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Idioma: En Revista: MethodsX Año: 2023 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Países Bajos

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