In the present research, different data exploration methods were applied to electronic ICU (eICU) Collaborative Research Database—an ICU database collected from more than 200 hospitals and over 139,000 ICU patients across the United States. In this study, we explore the distribution of the data, including demographics, conditions, and diseases, and identify significant patterns and relationships. Through an exploratory analysis of the data, including the relationships between gender, ethnicity, diseases, and quality of care and mortality rates, remarkable insights were obtained. To the best of our knowledge, this is the first comprehensive exploratory analysis of the eICU database. A deep understanding of the eICU database could help to identify potential areas of improvement and provides the foundation for further predictive and prescriptive analyses of the data with the ultimate goal of improving ICU treatment procedures for future patients.
|Title of host publication||An Exploratory Analysis of Electronic Intensive Care Unit (eICU) Collaborative Research Database|
|Publisher||ICIS 2020 Proceedings|
|State||Published - Dec 2020|