Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Ting-Yu HsuChi-Yung ChengI-Min ChiuChun-Hung Richard LinFu-Jen ChengHsiu-Yung PanYu-Jih SuChao-Jui Li

Published in: Clinical interventions in aging (2024)

The developed DL model demonstrated high accuracy in predicting serious adverse events in geriatric patients within 72 hours of hospitalization. It outperformed the SOFA score and provided valuable insights into the model's decision-making process.

Keyphrases

end stage renal disease
newly diagnosed
deep learning
chronic kidney disease
peritoneal dialysis
decision making
prognostic factors
machine learning
patient reported outcomes
patient reported