تقرير
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach
| العنوان: | Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach |
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| المؤلفون: | Joshi, Aparna, Merickel, Jennifer, Desouza, Cyrus V., Rizzo, Matthew, Gunaratne, Pujitha, Sharma, Anuj |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Statistics - Applications, Computer Science - Machine Learning |
| الوصف: | Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving. Complication of glucose control in diabetes includes hypoglycemic and hyperglycemic episodes, which may impair cognitive and psychomotor functions needed for safe driving. The goal of this paper was to determine patterns of diabetes speed behavior during acute glucose to drivers with diabetes who were euglycemic or control drivers without diabetes in a naturalistic driving environment. By employing distribution-based analytic methods which capture distribution patterns, our study advances prior literature that has focused on conventional approach of average speed to explore speed deviation patterns. Comment: 6 pages, 2 figures, 5 Tables, Accepted and Presented at IEEE ITSC 2023 Conference in Bilbao Spain |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2310.02351Test |
| رقم الانضمام: | edsarx.2310.02351 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |