Web App for prediction of hospitalisation in Intensive Care Unit by covid-19.
Rev Bras Enferm
; 76(6): e20220740, 2023.
Article
em En, Pt
| MEDLINE
| ID: mdl-38055477
OBJECTIVE: To develop a Web App from a predictive model to estimate the risk of Intensive Care Unit (ICU) admission for patients with covid-19. METHODS: An applied technological production research was carried out with the development of Streamlit using Python, considering the decision tree model that presented the best performance (AUC 0.668). RESULTS: Based on the variables associated with Precision Nursing, Streamlit stratifies patients admitted to clinical units who are most likely to be admitted to the Intensive Care Unit, serving as a decision-making support tool for healthcare professionals. FINAL CONSIDERATIONS: The performance of the model may have been influenced by the start of vaccination during the data collection period, however, the Web App via Streamlit proved to be a feasible tool for presenting research results, due to the ease of understanding by nurses and its potential for supporting clinical decision-making.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Aplicativos Móveis
/
COVID-19
Limite:
Humans
Idioma:
En
/
Pt
Revista:
Rev Bras Enferm
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Brasil
País de publicação:
Brasil