文章基本信息

标题：Electronic Health Records Exploitation Using Artificial Intelligence Techniques
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作者：Carla Guerra Tort ; Vanessa Aguiar Pulido ; Victoria Suárez Ulloa 等
期刊名称：Proceedings
电子版ISSN：2504-3900
出版年度：2020
卷号：55
期号：8
页码：60
DOI：10.3390/proceedings2020054060
语种：English
出版社：MDPI AG
摘要：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.