Electronic Health Records Exploitation Using Artificial Intelligence Techniques
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Electronic Health Records Exploitation Using Artificial Intelligence TechniquesAutor(es)
Fecha
2020-09-09Cita bibliográfica
Guerra Tort, C.; Aguiar Pulido, V.; Suárez Ulloa, V.; Docampo Boedo, F.; López Gestal, J. M.; Pereira Loureiro, J. Electronic Health Records Exploitation Using Artificial Intelligence Techniques. Proceedings 2020, 54, 60. https://doi.org/10.3390/proceedings2020054060
Resumen
[Abstract] The exploitation of electronic health records (EHRs) has multiple utilities, from predictive
tasks and clinical decision support to pattern recognition. Artificial Intelligence (AI) allows to extract
knowledge from EHR data in a practical way. In this study, we aim to construct a Machine Learning
model from EHR data to make predictions about patients. Specifically, we will focus our analysis on
patients suffering from respiratory problems. Then, we will try to predict whether those patients will
have a relapse in less than 6, 12 or 18 months. The main objective is to identify the characteristics that
seem to increase the relapse risk. At the same time, we propose an exploratory analysis in search
of hidden patterns among data. These patterns will help us to classify patients according to their
specific conditions for some clinical variables.
Palabras clave
Electronic health record (EHR)
Artificial intelligence (AI)
Relapse
Respiratory diseases
Artificial intelligence (AI)
Relapse
Respiratory diseases
Versión del editor
Derechos
Atribución 4.0 Internacional
ISSN
2504-3900