vqrca/bootcamp_alura_projeto_final
Machine Learning na Saúde: Prevendo a Necessidade de Internação em Leitos de UTI Durante a Pandemia de COVID-19
This project helps hospital administrators and healthcare providers predict which COVID-19 patients are likely to need an Intensive Care Unit (ICU) bed. By analyzing patient data, including demographics, pre-existing conditions, lab results, and vital signs collected within the first two hours of admission, the system outputs a prediction of whether a patient will require ICU admission. This allows for better resource planning and patient flow management.
No commits in the last 6 months.
Use this if you need to quickly assess the likelihood of COVID-19 patients requiring ICU care to optimize hospital bed allocation and operational efficiency.
Not ideal if you need predictions for diseases other than COVID-19 or require real-time updates beyond the initial two-hour admission window.
Stars
11
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 08, 2021
Commits (30d)
0
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