首页|Data on Machine Learning Reported by Yuri G. Rykov and Colleagues (Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment)
Data on Machine Learning Reported by Yuri G. Rykov and Colleagues (Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment)
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NETL
NSTL
Springer Nature
New research on Machine Learning is the subject of a report. According to news reporting originating from Singapore, Singapore, by NewsRx correspondents, research stated, “Continuous assessment and remote monitoring of cognitive function in individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and modifying treatment to achieve better clinical outcomes. While standardized neuropsychological tests are inconvenient for this purpose, wearable sensor technology collecting physiological and behavioral data looks promising to provide proxy measures of cognitive function.”
SingaporeSingaporeAsiaClinical ResearchClinical Trials and StudiesCyborgsEmerging TechnologiesHealth and MedicineMachine Learning
NETL
NSTL
Springer Nature
