A metadata framework for computational phenotypes

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 act...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Brief Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168627/
https://www.ncbi.nlm.nih.gov/pubmed/37181728
http://dx.doi.org/10.1093/jamiaopen/ooad032

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