Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of critical care"
DOI: 10.1016/j.jcrc.2019.10.015
Abstract: PURPOSE To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY). MATERIAL AND METHODS Six machine-learning algorithms were… read more here.
Keywords: machine learning; predict day; quality adjusted; day ... See more keywords