This work was developed in the context of the published research article: Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal.
Python 3+
All dependencies are defined in requirements.txt. You can install them by:
$ conda config --append channels conda-forge
$ conda create --name <env> --file requirements.txt
$ conda activate <env>
After installing the required dependencies and activating your freshly created environment you should be able to run our app.
You can see our interface for the clinical decision support system by running and accessing http://127.0.0.1:8050/:
$ python main.py
You can test our solution by filling the following fields of the patient profile:
- Stage at which the patient is, namely, after testing positive, after hospitalization, or after ICU internment.
- Age
- Gender
- Comorbidities
Press "RUN QUERY", and the probabilities of the various events will be shown, with the distinction of which classifier made them.
Disclaimer: This is a clinical decision support tool and cannot be used to make a final decision without medical advice.
Please cite as: Patrício A, Costa RS, Henriques R. Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study. J Med Internet Res. 2021 Apr 28;23(4):e26075. doi: 10.2196/26075.
Guidelines to access data are available upon request.