Development and validation of a deep learning model to predict the survival of patients in ICU.

Hai TangZhuochen JinJiajun DengYunlang SheYifan ZhongWeiyan SunYijiu RenNan CaoChang Chen

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

Compared with traditional algorithms, DL algorithms are more accurate in predicting the survival probability during ICU hospitalization. This novel model can provide reliable, individualized survival probability prediction.

Keyphrases

deep learning
machine learning
end stage renal disease
intensive care unit
free survival
chronic kidney disease
ejection fraction
newly diagnosed
mechanical ventilation
artificial intelligence
peritoneal dialysis
high resolution
convolutional neural network
mass spectrometry
patient reported outcomes