Machine Learning for Hemodialysis Effectiveness Prediction and Nutritional Impact on Kt/V in Chronic Kidney Disease Patients

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Machine Learning for Hemodialysis Effectiveness Prediction and Nutritional Impact on Kt/V in Chronic Kidney Disease Patients
E-Poster Presentation

During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center. 

Preparing your E-Poster

Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.

​E-Poster Submission Deadline

Please prepare and upload your E-Poster no later than January 23, 2025. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.​

E-Poster Format Requirements
  • PDF file
  • Layout: Portrait (vertical orientation)
  • One page only (Dim A4: 210 x 297mm or PPT)
  • E-Poster can be prepared in PowerPoint (one (1) PowerPoint slide) but must be saved and submitted as PDF file.
  • File Size: Maximum file size is 2 Megabytes (2 MB)
  • No hyperlinks, animated images, animations, and slide transitions
  • Language: English
  • Include your abstract number
  • E-posters can include QR codes, tables and photos
https://storage.unitedwebnetwork.com/files/1099/9ebcdad67484c5ba695720ece39a24da.pdf
Ana Elizabeth
Figueiredo
9
Rafaela Caron-Lienert rafaelacaronlienert@gmail.com Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Flavia Seidler flavia.seidler@edu.pucrs.br Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Mayara Abichequer Beer mayara.beer@edu.pucrs.br Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Jorge Strogoff-de-Mato jorge.strogoff@fmc-ag.com Universidade Federal Fluminense (UFF) Nephrology Rio de Janeiro Brazil
Ana Beatriz Lesqueves Barra ana.beatriz@fmc-ag.com Universidade Federal Fluminense (UFF) Nephrology Rio de Janeiro Brazil
Diego Cândido de Souza diego@diegocandido.com Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Daniele Escouto daniele.escouto@pucrs.br Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Soraia Raupp Musse soraia.musse@pucrs.br Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil
Carlos Eduardo Poli-de-Figueiredo cepolif@pucrs.br Pontifícia Universidade Católica do Rio Grande do Sul Nephrology Porto Alegre Brazil