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April 28, 2021 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 processed to measure driving exposure, space and performance in great detail. The findings are published in the journal
Geriatrics.
The researchers developed random forests models, a statistical technique widely used in AI for classifying disease status, that performed exceptionally well. 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 an
Hotel Ezra Cornell Sponsors Virtual Conference on “Prioritizing People Over Dollars”
By Prameela Kottapalli Photo: Cornell Advertisements
The virtual conference, sponsored by Hotel Ezra Cornell, featured Aaron Adalja, assistant professor of food and beverage management at the School of Hotel Administration, Barbara Lang 78, MPS 04, founder of B. Lang Consulting, Abigail Charpentier 95, vice president of people and culture for the Americas at Four Seasons Hotels and Resorts, Dr. Jamie Perry, assistant professor of human resources management at the School of Hotel Administration, and Christopher Wofford, Digital Media Producer, eCornell. The discussion, rooted in the notion that people are at the heart of a business, explored how employee-oriented solutions can drive sustainable growth and success in organizations.