Logistic regression representing the associations between the characteristics of participants and test outcome for SARS-COV-2 infection.

Logistic regression representing the associations between the characteristics of participants and test outcome for SARS-COV-2 infection.

Volltext
Verfasser: Grigory Sidorenkov
Judith M. Vonk
Marco Grzegorczyk
Francisco O. Cortés-Ibañez
Geertruida H. de Bock
Dokumenttyp: Image
Erscheinungsdatum: 2023
Schlagwörter: Medicine / Cell Biology / Genetics / Neuroscience / Biotechnology / Evolutionary Biology / Cancer / Mental Health / Infectious Diseases / polymerase chain reaction / northern netherlands representative / prominent symptom associated / multivariate logistic regression / important factors related / xlink \ / > 2564 / 2 tests maintaining / support vector machine / lifelines </ p / lower back pain / > participants / 1 household members / someone tested positive / 2 positive test / > / factors associated / someone else / lower risk / logistic models / positive test / 2 test / reported test / study aimed / stomach pain / sore throat / runny nose / respiratory diseases / random forest / physical activity / often mixed / medications use / male gender / learning algorithms / june 2020 / inhaler use / higher risk / general population / april 2021 / alcohol use / affect anyone / 4 ratio
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29197962
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1371/journal.pone.0294556.g002