Testing of a Short-Term Blood Glucose Prediction Algorithm Using the DirecNet Database.

Autor:	Bazaev, N. A., Rudenko, P. A., Grinval'd, V. M., Pozhar, K. V., Litinskaia, E. L.
Předmět:	DATABASES PREDICTIVE tests COMPUTER simulation PATIENT care BLOOD sugar monitoring DIABETES
Zdroj:	Biomedical Engineering; Mar2019, Vol. 52 Issue 6, p419-422, 4p
Abstrakt:	A short-term blood glucose prediction algorithm was validated using the DirecNet clinical database. Noise at 0, 10, 15, 20, and 25% levels was added to blood glucose tracks to assess the stability of the algorithm. Computer modeling showed that the average prediction error was 2.0, 3.0, 6.6, 7.4, and 13.7%, respectively. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink