With the burgeoning development of computational phenotypes, it is increasingly difficult to identify the right phenotype for the right tasks. This study uses a mixed-methods approach to develop and evaluate a novel metadata framework for retrieval of and reusing computational phenotypes. Twenty active phenotyping researchers from 2 large research networks, Electronic Medical Records and Genomics and Observational Health Data Sciences and Informatics, were recruited to suggest metadata elements. Once consensus [...]
Author(s): Spotnitz, Matthew, Acharya, Nripendra, Cimino, James J, Murphy, Shawn, Namjou, Bahram, Crimmins, Nancy, Walunas, Theresa, Liu, Cong, Crosslin, David, Benoit, Barbara, Rosenthal, Elisabeth, Pacheco, Jennifer A, Ostropolets, Anna, Reyes Nieva, Harry, Patterson, Jason S, Richter, Lauren R, Callahan, Tiffany J, Elhussein, Ahmed, Pang, Chao, Kiryluk, Krzysztof, Nestor, Jordan, Khan, Atlas, Mohan, Sumit, Minty, Evan, Chung, Wendy, Wei, Wei-Qi, Natarajan, Karthik, Weng, Chunhua
DOI: 10.1093/jamiaopen/ooad032