Evaluation of a machine learning-based dysphagia prediction tool in clinical routine: a prospective observational cohort study

HIGHLIGHTS

  • who: Stefanie Jauk from the Information and Process Management, Steiermu00e4rkische Krankenanstaltengesellschaft MB.H. (KAGes), Billrothgasse, a, Graz, Austria have published the paper: Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study, in the Journal: (JOURNAL)
  • what: The aim of the study was to prospectively apply this algorithm in two large patient cohorts. The authors evaluated a machine_learning-based tool predicting the risk of dysphagia in routinely hospitalized patients. The overall aim was to identify patients with dysphagia as early as possible to prevent aspiration pneumonia and improve . . .

     

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