title: icuARM-An ICU Clinical Decision Support System Using Association Rule Mining.
abstract: The rapid development of biomedical monitoring technologies has enabled modern intensive care units (ICUs) to gather vast amounts of multimodal measurement data about their patients. However, processing large volumes of complex data in real-time has become a big challenge. Together with ICU physicians, we have designed and developed an ICU clinical decision support system icuARM based on associate rule mining (ARM), and a publicly available research database MIMIC-II (Multi-parameter Intelligent Monitoring in Intensive Care II) that contains more than 40,000 ICU records for 30,000+patients. icuARM is constructed with multiple association rules and an easy-to-use graphical user interface (GUI) for care providers to perform real-time data and information mining in the ICU setting. To validate icuARM, we have investigated the associations between patients' conditions such as comorbidities, demographics, and medications and their ICU outcomes such as ICU length of stay. Coagulopathy surfaced as the most dangerous co-morbidity that leads to the highest possibility (54.1%) of prolonged ICU stay. In addition, women who are older than 50 years have the highest possibility (38.8%) of prolonged ICU stay. For clinical conditions treatable with multiple drugs, icuARM suggests that medication choice can be optimized based on patient-specific characteristics. Overall, icuARM can provide valuable insights for ICU physicians to tailor a patient's treatment based on his or her clinical status in real time.
authors.affiliation: Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA 30332.
authors.forename: Chih-Wen
authors.initials: CW
authors.lastname: Cheng
authors.affiliation: Emory University Pediatrics Department Atlanta GA USA 30332.
authors.forename: Nikhil
authors.initials: N
authors.lastname: Chanani
authors.affiliation: Georgia Institute of Technology and Emory University Wallace H. Coulter Department of Biomedical Engineering Atlanta GA USA 30332.
authors.forename: Janani
authors.initials: J
authors.lastname: Venugopalan
authors.affiliation: Emory University Pediatrics Department Atlanta GA USA 30332.
authors.forename: Kevin
authors.initials: K
authors.lastname: Maher
authors.affiliation: Emory UniversityDepartment of Hematology and Oncology and Winship Cancer InstituteAtlantaGAUSA30322; Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical EngineeringAtlantaGAUSA30332; Parker H. Petit Institute for Bioengineering and BiosciencesGeorgia Institute of TechnologyAtlantaGA30332; Institute for People and TechnologyGeorgia Institute of TechnologyAtlantaGA30332.
authors.forename: May Dongmei
authors.initials: MD
authors.lastname: Wang
keywords: Intensive care units (ICUs); association rule mining; clinical risk prediction models; personalized clinical decision support system