Tag: ensemble machine learning algorithms

Unsupervised ensemble methods combining Choi, NHANES and HMM classifiers detected accelerometer non-wear in children more stably than individual algorithms.

A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, depression, and self-compassion were ...

In a recent study conducted by Mengstie and Telele, researchers have tackled the critical issue of neonatal mortality, particularly in ...