MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.

Detalles Bibliográficos
Publicado en:PLoS Digital Health Vol. 5; no. 7; pp. 1 - 26
Autores principales: Yoo, Daniel, Nguyen, Vy Kim, Maggiore, Umberto, Jolliet, Olivier
Formato: research tables/charts Journal Article
Publicado: Public Library of Science 7/9/2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 7/9/2026
      vid: 5
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      pub: Public Library of Science
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        10.1371/journal.pdig.0001486
        195219954
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        atl: MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.
      aug:
        au:
          Yoo, Daniel
          Nguyen, Vy Kim
          Maggiore, Umberto
          Jolliet, Olivier
        affil: Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
      sug:
        subj:
          Machine Learning
          Health Screening
          Renal Insufficiency, Chronic Diagnosis
          Early Diagnosis Methods
          Prediction Models
          Human
          Questionnaires
          Decision Support Systems, Clinical
          Predictive Value of Tests
          Sensitivity and Specificity
          Validation Studies
          Reproducibility of Results
          Funding Source
          Boosting Machine Learning Algorithms
          Albumins Urine
          Creatinine Urine
          Glomerular Filtration Rate
          Middle Age
          Aged
          Male
          Female
          Random Forest
          Age Factors
          Sex Factors
          Descriptive Statistics
          Mann-Whitney U Test
          Analysis of Variance
          Kruskal-Wallis Test
          Chi Square Test
          Fisher's Exact Test
          Two-Tailed Test
          Cotinine Blood
          Data Analysis Software
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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