Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis

Rouane-Hacene, Mohamed; Toussaint, Yannick; Valtchev, Petko

doi:10.1007/978-3-642-02976-9_41

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Mining associations between medication usage and clinical outcome is another promising application of icuARM. ARM has been adopted in several pharmacovigilance studies, such as investigating multi-item adverse drug reactions [27] – [29] . However, to our knowledge, no CDSSs have adopted ARM for finding associations between medication usage and ICU outcomes.…”

Section: Resultsmentioning

confidence: 99%

icuARM-An ICU Clinical Decision Support System Using Association Rule Mining

Cheng

Chanani

Venugopalan

et al. 2013

IEEE J. Transl. Eng. Health Med.

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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.

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Section: Resultsmentioning

confidence: 99%