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Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study.

Debbie RankinMichaela BlackBronac FlanaganCatherine F HughesAdrian J MooreLeane HoeyJonathan WallaceChristopher Ian Richard GillPaul CarlinAnne M MolloyConal CunninghamHelene McNulty
Published in: JMIR medical informatics (2020)
The results suggest that it may be possible for a health care professional to make an initial evaluation, with a high level of confidence, of the potential for cognitive dysfunction using only a few short, noninvasive questions, thus providing a quick, efficient, and noninvasive way to help them decide whether or not a patient requires a full cognitive evaluation. This approach has the potential benefits of making time and cost savings for health service providers and avoiding stress created through unnecessary cognitive assessments in low-risk patients.
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