Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study

Autor: Denis Carlos Carvalho Junior, Ana Paula Santana Coelho Almeida, Inidiara da Silva Viegas, Camila Sebaje da Silva Dias, Luiz Augusto Facchini, Alexandre Dias Porto Chiavegatto Filho, Pablo Viana Stolz, Sabrina Ribeiro Farias, Felipe Mendes Delpino, Bruna Borges Coelho, João Ricardo Nickenig Vissoci, Bruno Pereira Nunes

Publikováno v: Revista Brasileira de Epidemiologia, Vol 24 (2021)
Revista Brasileira de Epidemiologia, Volume: 24, Article number: e210050, Published: 30 AUG 2021
Revista Brasileira de Epidemiologia v.24 2021
Revista brasileira de epidemiologia
Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO

Objective: Emergency services are essential to the organization of the health care system. Nevertheless, they face different operational difficulties, including overcrowded services, largely explained by their inappropriate use and the repeated visit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9b3791fe11f9915ef28e7f6bf322338
https://pubmed.ncbi.nlm.nih.gov/34468543