Interpretable Machine Learning Model for Predicting the Prognosis of Guillain-Barré Syndrome Patients.

Junshuang GuoRuike ZhangRuirui DongFan YangYating WangWang Miao

Published in: Journal of inflammation research (2024)

The combination of NLR, age, mechanical ventilation, hyporeflexia and abnormal glossopharyngeal vagus used to predict short-term prognosis in patients with GBS has a good predictive value.

Keyphrases

mechanical ventilation
machine learning
end stage renal disease
acute respiratory distress syndrome
newly diagnosed
intensive care unit
ejection fraction
chronic kidney disease
prognostic factors
peritoneal dialysis
respiratory failure