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Paper Title
Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model.
PubMed
Paper Journal Title
Crit Care
Paper Citation Count
1
Paper Publication Year
2023
Bio Mention
ICURx, critical illness, critically ill, patient, patients
Mesh Descriptor
Adult, Artificial Intelligence, Cluster Analysis, Cohort Studies, Humans, Intensive Care Units, Machine Learning
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Author Name
Affiliation
Andrea Sikora
University of Georgia College of Pharmacy
Alireza Rafiei
Emory University
Milad Ghiasi Rad
Georgia Institute of Technology
Kelli Keats
Department of Pharmacy, Augusta University Medical Center
Susan E Smith
University of Georgia College of Pharmacy
John W Devlin
Northeastern University School of Pharmacy
John W Devlin
Brigham and Women's Hospital
David J Murphy
Emory University
Brian Murray
Department of Pharmacy, University of North Carolina Medical Center
Rishikesan Kamaleswaran
Emory University School of Medicine
Rishikesan Kamaleswaran
Georgia Institute of Technology
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