Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ben D. Coleman"'
Autor:
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner, Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin A. Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-18 (2023)
Abstract Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry on
Externí odkaz:
https://doaj.org/article/19e71d5e4d104d89b86f312e42ae7202
Autor:
Rachel R Deer, Madeline A Rock, Nicole Vasilevsky, Leigh Carmody, Halie Rando, Alfred J Anzalone, Marc D Basson, Tellen D Bennett, Timothy Bergquist, Eilis A Boudreau, Carolyn T Bramante, James Brian Byrd, Tiffany J Callahan, Lauren E Chan, Haitao Chu, Christopher G Chute, Ben D Coleman, Hannah E Davis, Joel Gagnier, Casey S Greene, William B Hillegass, Ramakanth Kavuluru, Wesley D Kimble, Farrukh M Koraishy, Sebastian Köhler, Chen Liang, Feifan Liu, Hongfang Liu, Vithal Madhira, Charisse R Madlock-Brown, Nicolas Matentzoglu, Diego R Mazzotti, Julie A McMurry, Douglas S McNair, Richard A Moffitt, Teshamae S Monteith, Ann M Parker, Mallory A Perry, Emily Pfaff, Justin T Reese, Joel Saltz, Robert A Schuff, Anthony E Solomonides, Julian Solway, Heidi Spratt, Gary S Stein, Anupam A Sule, Umit Topaloglu, George D. Vavougios, Liwei Wang, Melissa A Haendel, Peter N Robinson
Publikováno v:
EBioMedicine, Vol 74, Iss , Pp 103722- (2021)
ABSTRACT: Background: Numerous publications describe the clinical manifestations of post-acute sequelae of SARS-CoV-2 (PASC or “long COVID”), but they are difficult to integrate because of heterogeneous methods and the lack of a standard for deno
Externí odkaz:
https://doaj.org/article/fe1331dbae5d42cf84b4cae03d8faaf5
Autor:
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner, Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin A. Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d6a05492e9f21fa9f6acd0ca9b5777c
