Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Amelia L.M. Tan, Emily Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez‐Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi Jebathilagam Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W.L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes
Topics & Concepts
Missing dataData collectionComputer scienceStatisticsData miningData scienceMachine learningMathematicsClinical Laboratory Practices and Quality ControlSARS-CoV-2 detection and testingBacterial Identification and Susceptibility Testing