Uso de la inteligencia artificial para la predicción de accidentes de trabajo con materiales biológicos en profesionales de la salud

Autor:	Groto, Anderson Dillmann, Perlin, Cássio Marques, Andrade, Sonia Mara de, Salamanca, Mayara Angélica Bolson
Jazyk:	portugalština
Rok vydání:	2021
Předmět:	Salud Laboral Acidentes Ocupacionais Atenção primária à saúde Artificial Intelligence Accidentes Laborales Inteligência Artificial Occupational Accidents Inteligencia Artificial Primary health care Atención primaria Saúde do Trabalhador Occupational Health
Zdroj:	Research, Society and Development; Vol. 10 No. 12; e93101219743 Research, Society and Development; Vol. 10 Núm. 12; e93101219743 Research, Society and Development; v. 10 n. 12; e93101219743 Research, Society and Development Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI
ISSN:	2525-3409
Popis:	This study developed a software that calculates the chance of the health professional having zero, one, two, three or four or more accidents with biological hazards. Data from 111 questionnaires of health workers in primary and emergency care were used. The program achieved 95% accuracy in the training set (n=88) and 74% in the test set (n=23). The statistically significant associations, which also relied on data from 1,094 work accident reports, were greater abandonment of follow-up by physicians after an accident with biological materials in comparison with other professionals (p=0.02), nursing technicians and a higher prevalence of accidents with biological materials than other professionals (p
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______3056::f00101801c756d3b56b09373ae1eba30 https://rsdjournal.org/index.php/rsd/article/view/19743 Zobrazit plný text záznamu