Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department.

Nan LiuMarcel Lucas CheeZhi Xiong KohSu Li LeowAndrew Fu Wah HoDagang GuoMarcus Eng Hock Ong

Published in: BMC medical research methodology (2021)

Dimensionality reduction models showed marginal value in improving the prediction of 30-day MACE for ED chest pain patients. Moreover, they are black box models, making them difficult to explain and interpret in clinical practice.

Keyphrases

emergency department
end stage renal disease
machine learning
ejection fraction
newly diagnosed
chronic kidney disease
clinical practice
deep learning
artificial intelligence
binding protein
big data