Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Iannis Drakos"'
Autor:
Ross D. Williams, Aniek F. Markus, Cynthia Yang, Talita Duarte-Salles, Scott L. DuVall, Thomas Falconer, Jitendra Jonnagaddala, Chungsoo Kim, Yeunsook Rho, Andrew E. Williams, Amanda Alberga Machado, Min Ho An, María Aragón, Carlos Areia, Edward Burn, Young Hwa Choi, Iannis Drakos, Maria Tereza Fernandes Abrahão, Sergio Fernández-Bertolín, George Hripcsak, Benjamin Skov Kaas-Hansen, Prasanna L. Kandukuri, Jan A. Kors, Kristin Kostka, Siaw-Teng Liaw, Kristine E. Lynch, Gerardo Machnicki, Michael E. Matheny, Daniel Morales, Fredrik Nyberg, Rae Woong Park, Albert Prats-Uribe, Nicole Pratt, Gowtham Rao, Christian G. Reich, Marcela Rivera, Tom Seinen, Azza Shoaibi, Matthew E. Spotnitz, Ewout W. Steyerberg, Marc A. Suchard, Seng Chan You, Lin Zhang, Lili Zhou, Patrick B. Ryan, Daniel Prieto-Alhambra, Jenna M. Reps, Peter R. Rijnbeek
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background We investigated whether we could use influenza data to develop prediction models for COVID-19 to increase the speed at which prediction models can reliably be developed and validated early in a pandemic. We developed COVID-19 Esti
Externí odkaz:
https://doaj.org/article/da152b2f9d8848c687fd69d67eb875e5
Autor:
María Aragón, Carlos Areia, Azza Shoaibi, Marc A. Suchard, Lin Zhang, Edward Burn, L. Zhou, Kristin Kostka, Nicole L. Pratt, George Hripcsak, Benjamin Skov Kaas-Hansen, Kristine E. Lynch, Gowtham A. Rao, Sergio Fernandez-Bertolin, Ewout W. Steyerberg, Tom Seinen, Prasanna L. Kandukuri, Thomas Falconer, Iannis Drakos, Patrick B. Ryan, Daniel R. Morales, Ross D. Williams, Christian G. Reich, Matthew E. Spotnitz, Marcela Rivera, Michael E. Matheny, Scott L. DuVall, Gerardo Machnicki, Fredrik Nyberg, Andrew E. Williams, Rae Woong Park, Daniel Prieto-Alhambra, Peter R. Rijnbeek, Seng Chan You, Aniek F. Markus, Min Ho An, Jan A. Kors, Chungsoo Kim, Jitendra Jonnagaddala, Amanda Alberga, Jenna Reps, Yeunsook Rho, Maria Tereza Fernandes Abrahão, Young Hwa Choi, Cynthia Yang, Siaw-Teng Liaw, Albert Prats-Uribe, Talita Duarte Salles
Publikováno v:
medRxiv
Importance COVID-19 is causing high mortality worldwide. Developing models to quantify the risk of poor outcomes in infected patients could help develop strategies to shield the most vulnerable during de-confinement. Objective To develop and external
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff094e8474ba5c32a96db674ed49848
https://doi.org/10.1101/2020.05.26.20112649
https://doi.org/10.1101/2020.05.26.20112649
Autor:
Eric Dasque, Claude C.A. Bernard, Encarnita Mariotti-Ferrandiz, Olivia Tran, Caroline Aheng, Olivier Benveniste, David Saadoun, Sophie Harris, Michelle Rosenzwajg, Agnès Hartemann, Maeva Cordoba, Francis Berenbaum, Gilles Grateau, Kuberaka Mariampillai, Patrice Cacoub, Philippe Seksik, Pierre Ronco, Claire Ribet, Jérémie Sellam, Iannis Drakos, David Klatzmann, Bahram Bodaghi, Roberta Lorenzon, Eric Vicaut, Adrien Six
ObjectivesAutoimmune and inflammatory diseases (AIDs) form a continuum of autoimmune and inflammatory diseases, yet AIDs’ nosology is based on syndromic classification. The TRANSIMMUNOM trial (NCT02466217) was designed to re-evaluate AIDs nosology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81e29bb98fc4c764585ad7227f1dfab8