Risk analysis of blood glucose data: A quantitative approach to optimizing the control of insulin dependent diabetes.
Kovatchev, Boris P.; Straume, Martin; Cox, Daniel J.; Farhy, Leon S.
Journal of Theoretical Medicine (2000)
- Volume: 3, Issue: 1, page 1-10
- ISSN: 1748-670X
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topKovatchev, Boris P., et al. "Risk analysis of blood glucose data: A quantitative approach to optimizing the control of insulin dependent diabetes.." Journal of Theoretical Medicine 3.1 (2000): 1-10. <http://eudml.org/doc/225712>.
@article{Kovatchev2000,
author = {Kovatchev, Boris P., Straume, Martin, Cox, Daniel J., Farhy, Leon S.},
journal = {Journal of Theoretical Medicine},
keywords = {glycemic control; hyperglycemia; self-monitoring of blood glucose; SMBG; hypoglycemia},
language = {eng},
number = {1},
pages = {1-10},
publisher = {Taylor & Francis},
title = {Risk analysis of blood glucose data: A quantitative approach to optimizing the control of insulin dependent diabetes.},
url = {http://eudml.org/doc/225712},
volume = {3},
year = {2000},
}
TY - JOUR
AU - Kovatchev, Boris P.
AU - Straume, Martin
AU - Cox, Daniel J.
AU - Farhy, Leon S.
TI - Risk analysis of blood glucose data: A quantitative approach to optimizing the control of insulin dependent diabetes.
JO - Journal of Theoretical Medicine
PY - 2000
PB - Taylor & Francis
VL - 3
IS - 1
SP - 1
EP - 10
LA - eng
KW - glycemic control; hyperglycemia; self-monitoring of blood glucose; SMBG; hypoglycemia
UR - http://eudml.org/doc/225712
ER -
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