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Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers at Columbia University's Mailman School of Public Health, Fu Foundation School of Engineering and Applied Science, and Vagelos College of Physicians and Surgeons have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers.

How older adults drive may indicate early signals of mild cognitive impairment and dementia.

Over three years, the researchers followed up with the drivers by telephone at 12 and 36 months, with an in-person assessment at 24 months. As well, they also reviewed each person’s driving record from his or her state’s motor vehicle department, to look for crashes or violations; and annually reviewed each driver’s medical records. Demographic factors were also considered, including age, sex, race/ethnicity, and education. Throughout the study, among the participants, 31 drivers were diagnosed with dementia, and 33 with MCI. The accuracy of the data in predicting the diagnosis was 29 p...

Researchers develop algorithms for early detection of mild cognitive impairment and dementia using naturalistic driving data Using naturalistic driving data and machine learning techniques, researchers at Columbia University Mailman School of Public Health and Columbia’s Fu Foundation School of Engineering and Applied Science have developed highly accurate algorithms for detecting mild cognitive impairment and dementia in older drivers. Naturalistic driving data refer to data captured through in-vehicle recording devices or other technologies in the real-world setting. These data could be ...

It should hardly come as a surprise that dementia and mild cognitive impairment (MCI) would have an impact on driving. Researchers have found, though, that driving data could be a useful tool in diagnosing those conditions, too. According to new research published in the Geriatrics journal, using driving data as well as demographics information, dementia and MCI can be consistently predicted. “Based on variables derived from the naturalistic driving data and basic demographic characteristics, such as age, sex, race/ethnicity, and education level, we could predict mild cognitive impairment a...