Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.

Mostafa Shanbehzadeh Mohammad Reza Afrash Nader Mirani Hadi Kazemi-Arpanahi

Published in: BMC medical informatics and decision making (2022)

Accurate prediction of the survival likelihood of CML patients can inform caregivers to promote patient prognostication and choose the best possible treatment path. While external validation is required, our developed models will offer customized treatment and may guide the prescription of personalized medicine for CML patients.

Keyphrases

machine learning
end stage renal disease
chronic myeloid leukemia
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
deep learning
patient reported outcomes
high resolution
artificial intelligence
replacement therapy
smoking cessation