Machine learning for predicting cognitive deficits using auditory and demographic factors
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
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
Quantifying choriocapillaris flow deficits using global and localized thresholding methods: a correlation study.
Sign Up to like & getrecommendations! Published in 2018 at "Quantitative imaging in medicine and surgery"
DOI: 10.21037/qims.2018.12.09
Abstract: Background To investigate the correlation and agreement of two previously published choriocapillaris (CC) quantification methods using a normal database with swept-source optical coherence tomography angiography (SS-OCTA). Methods Normal adult subjects from all age groups imaged… read more here.
Keywords: normal database; flow deficits; method; correlation ... See more keywords