دورية أكاديمية
On the Use of Consumer-grade Activity Monitoring Devices to Improve Predictions of
| العنوان: | On the Use of Consumer-grade Activity Monitoring Devices to Improve Predictions of |
|---|---|
| المؤلفون: | Glycemic Variability, Ra Krintz, Rich Wolski, Jordan E. Pinsker, Stratos Dimopoulos, Eyal Dassau |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://cs.ucsb.edu/%7Eckrintz/papers/swit-health15.pdfTest. |
| المجموعة: | CiteSeerX |
| الوصف: | This paper examines the use of partial least squares regres-sion to predict glycemic variability in subjects with Type I Diabetes Mellitus using measurements from continuous glucose monitoring devices and consumer-grade activity monitoring devices. It illustrates a method-ology for generating automated predictions from current and historical data and shows that activity monitoring can improve prediction accuracy substantially. Key words: activity monitoring, diabetes, prediction, decision support 1 |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.6559Test; http://cs.ucsb.edu/%7Eckrintz/papers/swit-health15.pdfTest |
| الإتاحة: | http://cs.ucsb.edu/%7Eckrintz/papers/swit-health15.pdfTest |
| حقوق: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.DE19679 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |