Machine Learning Methods and Their Applications in Biomedical Sensors
Research indicates that RFR possesses strong anti-overfitting capabilities and it’s suitable for malaria detection, gait disorder identification, and other scenarios; PLS efficiently processes high-dimensional collinear data and performs well in hemoglobin testing and cfDNA analysis; PR adapts to nonlinear relationship...