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Detecting changes in the performance of a clinical machine learning tool over time.
Schinkel, Michiel; Boerman, Anneroos W; Paranjape, Ketan; Wiersinga, W Joost; Nanayakkara, Prabath W B.
Affiliation
  • Schinkel M; Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Division of Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University, Amsterdam, the Netherlands. Electronic address: m.schinkel@amsterdamumc.nl.
  • Boerman AW; Division of Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University, Amsterdam, the Netherlands; Department of Clinical Chemistry, Amsterdam UMC, VU University, Amsterdam, the Netherlands.
  • Paranjape K; Division of Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University, Amsterdam, the Netherlands.
  • Wiersinga WJ; Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Division of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Nanayakkara PWB; Division of Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University, Amsterdam, the Netherlands.
EBioMedicine ; 97: 104823, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37793210
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Machine Learning Type of study: Prognostic_studies Limits: Adult / Humans Language: En Journal: EBioMedicine Year: 2023 Type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Machine Learning Type of study: Prognostic_studies Limits: Adult / Humans Language: En Journal: EBioMedicine Year: 2023 Type: Article