Final ID: 72
Tomasello Alejandro, Hassan Ameer, Miller Samantha, Zapata-arriaza Elena, De Alboniga-chindurza Asier, Bergui Mauro, Molinaro Stefano, Sousa Joao Andre, Gomes Fábio, Alexandre Andrea, Pedicelli Alessandro, Salcuni Andrea, Hofmeister Jeremy, Machi Paolo, Scarcia Luca, Kalsoum Erwah, Amorim José, Meira Torcato, Ortega-gutierrez Santiago, Rodriguez Aaron, Renieri Leonardo, Capasso Francesco, Kaesmacher Johannes, Gadea Marta, Romano Daniele, Barcena Eduardo, Abdalkader Mohamad, Perry Da Camara Catarina, Yavagal Dileep, Vega Pedro, Ozdemir Atilla Ozcan, Smajda Stanislas, Khalife Jane, Mujanovic Adnan, Biraschi Francesco, Castro Pedro, Siddiqui Adnan, Navia Pedro, Ntoulias Nikolaos, Velo Mariano, Zamarro Joaquin, Zaidat Osama, Sierra-gomez Alicia, Marto Joao Pedro, Geyik Serdar, Requena Manuel, Senadim Songul, Piano Mariangela, Moreu Manuel, Lopez-frias Alfonso
A machine learning approach to classifying ischemic stroke etiology using variables available in the Get-with-the-Guidelines Stroke RegistryLee Ho-joon, Schwamm Lee, Turner Ashby, De Havenon Adam, Kamel Hooman, Brandt Cynthia, Zhao Hongyu, Krumholz Harlan, Sharma Richa
We encourage you to enter the discussion by posting your comments and questions below.
Presenters will be notified of your post so that they can respond as appropriate.
This discussion platform is provided to foster engagement, and simulate conversation and knowledge sharing.
You have to be authorized to post a comment. Please, Login or Signup.