Prediction of blood glucose level of type 1 diabetics using response surface methodology and data mining.
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Data-mining technologies for diabetes: a systematic reviewEstimation of future glucose concentrations with subject-specific recursive linear models.Adaptive System Identification for Estimating Future Glucose Concentrations and Hypoglycemia Alarms.Hypoglycemia prediction with subject-specific recursive time-series models.Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models.Statistical hypoglycemia prediction.
P2860
Prediction of blood glucose level of type 1 diabetics using response surface methodology and data mining.
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2006 nî lūn-bûn
@nan
2006 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2006年の論文
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2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Prediction of blood glucose le ...... e methodology and data mining.
@ast
Prediction of blood glucose le ...... e methodology and data mining.
@en
type
label
Prediction of blood glucose le ...... e methodology and data mining.
@ast
Prediction of blood glucose le ...... e methodology and data mining.
@en
prefLabel
Prediction of blood glucose le ...... e methodology and data mining.
@ast
Prediction of blood glucose le ...... e methodology and data mining.
@en
P2093
P1476
Prediction of blood glucose le ...... e methodology and data mining.
@en
P2093
Kobayashi M
Yamaguchi M
Yamazaki K
P304
P356
10.1007/S11517-006-0049-X
P577
2006-06-03T00:00:00Z