Prediction of absenteeism in public schools teachers with machine learning

ABSTRACT OBJECTIVE To predict the risk of absence from work due to morbidities of teachers working in early childhood education in the municipal public schools, using machine learning algorithms. METHODS This is a cross-sectional study using secondary, public and anonymous data from the Relação Anua...

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Detalhes bibliográficos
Autor principal: Fernandes,Fernando Timoteo (author)
Outros Autores: Chiavegatto Filho,Alexandre Dias Porto (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Absenteeism
Risk Factors
Supervised Machine Learning
School Teachers
Early Childhood Education
Texto completo:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102021000100229
País:Brasil
Oai:oai:scielo:S0034-89102021000100229

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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102021000100229

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