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Evaluating regression and probabilistic methods for ECG-based electrolyte prediction.
von Bachmann, Philipp; Gedon, Daniel; Gustafsson, Fredrik K; Ribeiro, Antônio H; Lampa, Erik; Gustafsson, Stefan; Sundström, Johan; Schön, Thomas B.
Affiliation
  • von Bachmann P; Department of Computer Science, University of Tübingen, Tübingen, Germany.
  • Gedon D; Department of Information Technology, Uppsala University, Uppsala, Sweden. daniel.gedon@it.uu.se.
  • Gustafsson FK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Ribeiro AH; Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Lampa E; Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Gustafsson S; Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Sundström J; Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Schön TB; George Institute for Global Health, University of New South Wales, Sydney, Australia.
Sci Rep ; 14(1): 15273, 2024 07 03.
Article in En | MEDLINE | ID: mdl-38961109
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography / Electrolytes Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography / Electrolytes Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication: