Prognosticating global functional outcome in the recurrent ischemic stroke using baseline clinical and pre-clinical features: A machine learning study.

Tran Nhat Phong DaoHien Nguyen Thanh DangMy Thi Kim PhamHien Thi NguyenCuong Tran ChiMinh Van Le

Published in: Journal of evaluation in clinical practice (2024)

A machine learning model could be used to classify GFO responses to treatment and identify the third-month poor GFO in RIS patients, supporting physicians in clinical practice.

Keyphrases

machine learning
end stage renal disease
clinical practice
ejection fraction
primary care
newly diagnosed
chronic kidney disease
prognostic factors
big data
atrial fibrillation
deep learning
patient reported outcomes