Machine learning for predicting cognitive deficits using auditory and demographic factors
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DOI: 10.1371/journal.pone.0302902
Abstract: Importance Predicting neurocognitive deficits using complex auditory assessments could change how cognitive dysfunction is identified, and monitored over time. Detecting cognitive impairment in people living with HIV (PLWH) is important for early intervention, especially in… read more here.
Keywords: deficits using; auditory variables; machine; machine learning ... See more keywords