Random forest prediction of Alzheimer’s disease using pairwise selection from time series data - Moore, P. J.; Lyons, T. J.; Gallacher, J. (PloS one, 2019)
Keywords: Age; Aged; Aged, 80 and over; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Alzheimers disease; Artificial intelligence; Benchmarking; Biology and Life Sciences; Biomarkers; Brain research; Classification; Cognition & reasoning; Cognitive ability; Computer and Information Sciences; Data points; Data processing; Dementia; Demographic variables; Demographics; Diagnosis; Diagnostic imaging; Disease Progression; Family medical history; Female; Health risks; Humans; Image Interpretation, Computer-Assisted; Machine Learning; Magnetic Resonance Imaging; Male; Management; Medical diagnosis; Medical imaging; Medical records; Medical research; Medicine and Health Sciences; Memory; Middle Aged; Neuroimaging; Neurology; Neurosciences; NMR; Nuclear magnetic resonance; Pattern Recognition, Automated; Physical Sciences; Research and Analysis Methods; Test procedures; Time dependence; Time series; United Kingdom--UK