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Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results.
Cabrera Alvargonzález, Jorge; Larrañaga Janeiro, Ana; Pérez Castro, Sonia; Martínez Torres, Javier; Martínez Lamas, Lucía; Daviña Nuñez, Carlos; Del Campo-Pérez, Víctor; Suarez Luque, Silvia; Regueiro García, Benito; Porteiro Fresco, Jacobo.
Affiliation
  • Cabrera Alvargonzález J; Microbiology and Infectology Research Group, Galicia sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain.
  • Larrañaga Janeiro A; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), Sergas, Vigo, Spain.
  • Pérez Castro S; Universidade de Vigo, Vigo, Spain.
  • Martínez Torres J; CINTECX, GTE, Universidade de Vigo, 36310, Vigo, Spain.
  • Martínez Lamas L; Microbiology and Infectology Research Group, Galicia sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain.
  • Daviña Nuñez C; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), Sergas, Vigo, Spain.
  • Del Campo-Pérez V; Universidade de Vigo, Vigo, Spain.
  • Suarez Luque S; Applied Mathematics I, Telecommunications Engineering School, Universidad de Vigo, 36310, Vigo, Spain.
  • Regueiro García B; Microbiology and Infectology Research Group, Galicia sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain.
  • Porteiro Fresco J; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), Sergas, Vigo, Spain.
Sci Rep ; 13(1): 7786, 2023 05 13.
Article in En | MEDLINE | ID: mdl-37179356
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication: