MaxiDS/Datathon-Machine-Learning
Cree un modelo que puede predecir, a partir de ciertos datos, si un paciente va a permanecer en el hospital durante más o menos de 8 días. Los resultados fueron una precisión del 83% en la medida del recall y una precisión del 81%.
This project helps healthcare administrators and hospital operations managers predict patient hospital stay durations. By inputting patient admission data, it outputs whether a patient is likely to stay more or less than 8 days. This helps with resource allocation and discharge planning.
No commits in the last 6 months.
Use this if you need to quickly identify patients likely to have extended hospital stays for better resource management.
Not ideal if you need to predict the exact number of days a patient will stay or require a highly configurable, real-time prediction system.
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Last pushed
Apr 07, 2023
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