The FIMMG dataset has been collected from a unique General Practitioner’s Electronic Health Record. It consists of 2433 patients and 10 main fields. The number of different features for each main field is enclosed in square brackets:
- Demographic (Gender, Age, Civil status)
- Monitoring (Blood pressure, Height, Weight, BMI)
- Lifestyle [14]
- Vaccination [10]
- Allergies and intolerances [71]
- Exemptions [72]
- Examination prescriptions [401]
- Pathologies [885]
- Drug prescriptions [508]
- Laboratory exams [103]
To obtain the FIMMG dataset:
- Send an email to: vrai@dii.univpm.it (Note: you should send the email from an email address that is linked to your research institution/university)
- You will be sent a form to fill out
- Wait for the credentials
- You will be sent a link for the download
Please cite our work using the following bib:
@article{bernardini2019discovering,
title={Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine},
author={Bernardini, Michele and Romeo, Luca and Misericordia, Paolo and Frontoni, Emanuele},
journal={IEEE Journal of Biomedical and Health Informatics},
year={2019},
publisher={IEEE}
}
The code associated to our work can be found here