Beware the Grizzlyman: A comparison of job- and industry-based noise exposure estimates using manual coding and the NIOSH NIOCCS machine learning algorithm.

Roberts, Benjamin; Shkembi, Abas; Smith, Lauren M; Neitzel, Richard L

Roberts, Benjamin; Shkembi, Abas; Smith, Lauren M; Neitzel, Richard L.

Afiliación

Roberts B; Cardno ChemRisk, Chicago, Illinois.
Shkembi A; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
Smith LM; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
Neitzel RL; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.

J Occup Environ Hyg ; 19(7): 437-447, 2022 07.

Article en En | MEDLINE | ID: mdl-35537195

Asunto(s)

Exposición Profesional; Algoritmos; Aprendizaje Automático; National Institute for Occupational Safety and Health, U.S.; Ocupaciones; Estados Unidos

Palabras clave

Big data; SOC; machine learning; noise

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Exposición Profesional Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: J Occup Environ Hyg Asunto de la revista: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article

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