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Biomarkers and explainable AI for the prediction of acute kidney injury and mortality in intensive care

Koozi, Hazem LU (2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Sigurðsson, Martin Ingi, Faculty of Medicine, University of Iceland
organization
publishing date
type
Thesis
publication status
published
subject
in
Lund University, Faculty of Medicine Doctoral Dissertation Series
issue
2025:109
pages
77 pages
publisher
Lund University, Faculty of Medicine
defense location
Föreläsningssal 1, Centralblocket, Entrégatan 7, Skånes Universitetssjukhus i Lund. Join by Zoom: https://lu-se.zoom.us/j/5754416839?omn=64335859256
defense date
2025-10-17 13:00:00
ISSN
1652-8220
ISBN
978-91-8021-762-0
language
English
LU publication?
yes
id
83681693-1fed-4662-b0f7-afa0aa69621f
date added to LUP
2025-09-19 22:20:12
date last changed
2025-09-22 19:31:44
@phdthesis{83681693-1fed-4662-b0f7-afa0aa69621f,
  author       = {{Koozi, Hazem}},
  isbn         = {{978-91-8021-762-0}},
  issn         = {{1652-8220}},
  language     = {{eng}},
  number       = {{2025:109}},
  publisher    = {{Lund University, Faculty of Medicine}},
  school       = {{Lund University}},
  series       = {{Lund University, Faculty of Medicine Doctoral Dissertation Series}},
  title        = {{Biomarkers and explainable AI for the prediction of acute kidney injury and mortality in intensive care}},
  url          = {{https://lup.lub.lu.se/search/files/228075325/PhD_thesis_H.Koozi.pdf}},
  year         = {{2025}},
}