Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data - Bhagwat, Nikhil; Viviano, Joseph D.; Voineskos, Aristotle N.; Chakravarty, M. Mallar (PLoS computational biology, 2018)
Keywords: Accuracy; Addictions; Aged; Aging; Algorithms; Alzheimer Disease - diagnosis; Alzheimer Disease - physiopathology; Alzheimer's disease; Area Under Curve; Australia; Automation; Biology and Life Sciences; Biomarkers; Biomedical engineering; Biomedical materials; Brain research; Clinical trials; Cluster analysis; Clustering; Collaboration; Computation; Computational neuroscience; Computer and Information Sciences; Datasets; Development and progression; Diagnosis; Disease Progression; Female; Follow-Up Studies; Humans; Laboratories; Learning algorithms; Longitudinal Studies; Machine Learning; Magnetic Resonance Imaging; Male; Mathematical models; Medical imaging; Medical research; Medical treatment; Medicine and Health Sciences; Mental health; Models, Neurological; Nerve Net; Neural networks; Neuroimaging; Neurology; Performance evaluation; Physical Sciences; Predictions; Replication; Reproducibility of Results; Research and Analysis Methods; Social Sciences; Software; Studies; Symptom Assessment; Trajectory analysis; Australia; Toronto Ontario Canada; Canada; Quebec Canada