Machine learning for predicting cognitive deficits using auditory and demographic factors - Niemczak, Christopher E.; Montagnese, Basile; Levy, Joshua; Fellows, Abigail M.; Gui, Jiang; Leigh, Samantha M.; Magohe, Albert; Massawe, Enica R.; Buckey, Jay C. (PloS one, 2024)
Keywords: Adult; Algorithms; Antibiotics; Auditory system; Biology and Life Sciences; Brain; Cancer; Chemotherapy; Cognition; Cognition & reasoning; Cognition disorders; Cognitive ability; Cognitive Dysfunction - diagnosis; Computer and Information Sciences; Concussion; Data collection; Data mining; Dementia; Demographic variables; Demographics; Demography; Disease; Diseases; Ears & hearing; Education; Feature selection; Female; Gentamicin; Hearing; HIV; HIV (Viruses); HIV Infections - complications; HIV Infections - psychology; Human immunodeficiency virus; Humans; Impairment; Infectious diseases; Learning algorithms; Longitudinal Studies; Machine Learning; Male; Medical research; Medicine and Health Sciences; Medicine, Experimental; Mental disorders; Middle Aged; Mortality; Neurological diseases; Neuropsychological Tests; Noise; Ototoxicity; Performance prediction; Physical Sciences; R&D; Research & development; Research and Analysis Methods; Social Sciences; Tanzania; Tanzania - epidemiology; Tanzania; Canada; Montreal Quebec Canada