AIPSS-MF machine learning prognostic score validation in a cohort of myelofibrosis patients treated with ruxolitinib.

Andrea DuminucoAdrian Mosquera-OrgueiraAntonella NardoFrancesco Di RaimondoGiuseppe Alberto Palumbo

Published in: Cancer reports (Hoboken, N.J.) (2023)

The new AIPSS-MF prognostic score confirms that it can adequately stratify this subgroup of patients already at diagnosis better than standard models, laying the foundations for new prognostic models developed tailored to the patient based on artificial intelligence.

Keyphrases

artificial intelligence
machine learning
big data
end stage renal disease
deep learning
chronic kidney disease
newly diagnosed
ejection fraction
prognostic factors
peritoneal dialysis
randomized controlled trial
smoking cessation
clinical trial
heat stress
phase iii
patient reported