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Paper Details

Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model.
Crit Care
1
2023
ICURx, critical illness, critically ill, patient, patients
Adult, Artificial Intelligence, Cluster Analysis, Cohort Studies, Humans, Intensive Care Units, Machine Learning
Author NameAffiliation
Andrea SikoraUniversity of Georgia College of Pharmacy
Alireza RafieiEmory University
Milad Ghiasi RadGeorgia Institute of Technology
Kelli KeatsDepartment of Pharmacy, Augusta University Medical Center
Susan E SmithUniversity of Georgia College of Pharmacy
John W DevlinNortheastern University School of Pharmacy
John W DevlinBrigham and Women's Hospital
David J MurphyEmory University
Brian MurrayDepartment of Pharmacy, University of North Carolina Medical Center
Rishikesan KamaleswaranEmory University School of Medicine
Rishikesan KamaleswaranGeorgia Institute of Technology
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