Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure

S. Chaudhuri*, H. Han, C. Monaghan, J. Larkin, P. Waguespack, B. Shulman, Z.W. Kuang, S. Bellamkonda, J. Brzozowski, J. Hymes, M. Black, P. Kotanko, J.P. Kooman, F.W. Maddux, L. Usvyat

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number274
Number of pages10
JournalBmc Nephrology
Volume22
Issue number1
DOIs
Publication statusPublished - 9 Aug 2021

Keywords

  • End Stage Kidney Disease
  • Real-Time Prediction
  • Machine Learning
  • HEMODIALYSIS
  • HYPOTENSION
  • ONSET
  • MODELS

Cite this