Machine learning model non-invasively detects suspected cases of hypoglycemia during real-world driving
1. Machine learning (ML) models developed by Lehmann and colleagues used driving characteristics and head motion data to detect hypoglycemic ...
1. Machine learning (ML) models developed by Lehmann and colleagues used driving characteristics and head motion data to detect hypoglycemic ...
1. Elderly participants who consumed cannabis 30 minutes before driving in a simulator were found to have increased standard deviation ...
1. The Enhanced Focused Concentration and Attention Learning (FOCAL+) training program, compared to control FOCAL program, reduced the number of ...
Image: PD By Laurel Wickberg and Leah Carr Dr. William Raszka, M.D. 1. 44.5% of U.S. high school teens over ...
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