Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Autor:	Tan, Amelia L.M., Getzen, Emily J., Hutch, Meghan R., Strasser, Zachary H., Gutiérrez-Sacristán, Alba, Le, Trang T., Dagliati, Arianna, Morris, Michele, Hanauer, David A., Moal, Bertrand, Bonzel, Clara-Lea, Yuan, William, Chiudinelli, Lorenzo, Das, Priam, Zhang, Harrison G., Aronow, Bruce J., Avillach, Paul, Brat, Gabriel.A., Cai, Tianxi, Hong, Chuan, La Cava, William G., Hooi Will Loh, He, Luo, Yuan, Murphy, Shawn N., Yuan Hgiam, Kee, Omenn, Gilbert S., Patel, Lav P., Jebathilagam Samayamuthu, Malarkodi, Shriver, Emily R., Shakeri Hossein Abad, Zahra, Tan, Byorn W.L., Visweswaran, Shyam, Wang, Xuan, Weber, Griffin M., Xia, Zongqi, Verdy, Bertrand, Long, Qi, Mowery, Danielle L., Holmes, John H.
Zdroj:	In Journal of Biomedical Informatics March 2023 139
Databáze:	ScienceDirect
Externí odkaz:	Zobrazit plný text záznamu Full Text from ScienceDirect