Clinical evaluation of a machine learning-based dysphagia risk prediction tool.

Markus GugatschkaNina Maria EggerK HasplDavid HortobagyiStefanie JaukMarlies FeinerDiether Kramer

Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)

The proposed dysphagia risk prediction tool proved to have an outstanding performance in discriminating risk from no risk patients in a prospective clinical setting. It is likely to be particularly useful in settings where there is a lower incidence of patients with dysphagia and less awareness among staff.

Keyphrases

clinical evaluation
machine learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
risk factors
prognostic factors
artificial intelligence
patient reported outcomes
patient reported