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Volumn 7, Issue 3, 2013, Pages 689-698

An early warning system for hypoglycemic/hyperglycemic events based on fusion of adaptive prediction models

Author keywords

Adaptive models; Diabetes; Early warning system; Glucose prediction

Indexed keywords

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; AUTOREGRESSIVE; AUTOREGRESSIVE WITH AN OUTPUT CORRECTION MODULE; CLINICAL ARTICLE; DIABETIC PATIENT; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN PUMP; MODEL; PATIENT CODING; PREDICTION; PUMP; RECURRENT NEURAL NETWORK; SENSOR AUGMENTED PUMP; TASK PERFORMANCE; ANALYSIS; BLOOD; FEMALE; GLUCOSE BLOOD LEVEL; INSULIN INFUSION; MALE; MIDDLE AGED; STATISTICAL MODEL; YOUNG ADULT;

EID: 84892376549     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681300700314     Document Type: Article
Times cited : (39)

References (27)
  • 2
    • 84863795397 scopus 로고    scopus 로고
    • Effects of sensor-augmented pump therapy on glycemic variability in well-controlled type 1 diabetes in the STAR 3 study
    • Buse JB, Kudva YC, Battelino T, Davis SN, Shin J, Welsh JB. Effects of sensor-augmented pump therapy on glycemic variability in well-controlled type 1 diabetes in the STAR 3 study. Diabetes Technol Ther. 2012;14(7):644-7.
    • (2012) Diabetes Technol Ther , vol.14 , Issue.7 , pp. 644-647
    • Buse, J.B.1    Kudva, Y.C.2    Battelino, T.3    Davis, S.N.4    Shin, J.5    Welsh, J.B.6
  • 5
    • 58649116460 scopus 로고    scopus 로고
    • Diabetes mellitus modeling and short-term prediction based on blood glucose measurements
    • Ståhl F, Johansson R. Diabetes mellitus modeling and short-term prediction based on blood glucose measurements. Math Biosci. 2009;217(2):101-17.
    • (2009) Math Biosci , vol.217 , Issue.2 , pp. 101-117
    • Ståhl, F.1    Johansson, R.2
  • 7
    • 54749122334 scopus 로고    scopus 로고
    • Glucose prediction algorithms from continuous monitoring data: Assessment of accuracy via continuous glucose error-grid analysis
    • Zanderigo F, Sparacino G, Kovatchev B, Cobelli C. Glucose prediction algorithms from continuous monitoring data: assessment of accuracy via continuous glucose error-grid analysis. J Diabetes Sci Technol. 2007;1(5):645-51.
    • (2007) J Diabetes Sci Technol , vol.1 , Issue.5 , pp. 645-651
    • Zanderigo, F.1    Sparacino, G.2    Kovatchev, B.3    Cobelli, C.4
  • 8
    • 77954667874 scopus 로고    scopus 로고
    • Hypoglycemia prediction with subject-specific recursive time-series models
    • Eren-Oruklu M, Cinar A, Quinn L. Hypoglycemia prediction with subject-specific recursive time-series models. J Diabetes Sci Technol. 2010;4(1):25-33.
    • (2010) J Diabetes Sci Technol , vol.4 , Issue.1 , pp. 25-33
    • Eren-Oruklu, M.1    Cinar, A.2    Quinn, L.3
  • 9
    • 63849301691 scopus 로고    scopus 로고
    • Predicting subcutaneous glucose concentration in humans: Data-driven glucose modeling
    • Gani A, Gribok AV, Rajaraman S, Ward WK, Reifman J. Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling. IEEE Trans Biomed Eng. 2009;56(2):246-54.
    • (2009) IEEE Trans Biomed Eng , vol.56 , Issue.2 , pp. 246-254
    • Gani, A.1    Gribok, A.V.2    Rajaraman, S.3    Ward, W.K.4    Reifman, J.5
  • 12
    • 84864447817 scopus 로고    scopus 로고
    • Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms
    • Oxf
    • Eren-Oruklu M, Cinar A, Rollins DK, Quinn L. Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms. Automatica (Oxf). 2012;48(8):1892-7.
    • (2012) Automatica , vol.48 , Issue.8 , pp. 1892-1897
    • Eren-Oruklu, M.1    Cinar, A.2    Rollins, D.K.3    Quinn, L.4
  • 13
    • 75749125065 scopus 로고    scopus 로고
    • Development of a neural network for prediction of glucose concentration in type 1 diabetes patients
    • Pappada SM, Cameron BD, Rosman PM. Development of a neural network for prediction of glucose concentration in type 1 diabetes patients. J Diabetes Sci Technol. 2008;2(5):792-801.
    • (2008) J Diabetes Sci Technol , vol.2 , Issue.5 , pp. 792-801
    • Pappada, S.M.1    Cameron, B.D.2    Rosman, P.M.3
  • 15
    • 84861394725 scopus 로고    scopus 로고
    • Neural network incorporating meal information improves accuracy of shorttime prediction of glucose concentration
    • Zecchin C, Facchinetti A, Sparacino G, De Nicolao G, Cobelli C. Neural network incorporating meal information improves accuracy of shorttime prediction of glucose concentration. IEEE Trans Biomed Eng. 2012;59(6):1550-60.
    • (2012) IEEE Trans Biomed Eng , vol.59 , Issue.6 , pp. 1550-1560
    • Zecchin, C.1    Facchinetti, A.2    Sparacino, G.3    De Nicolao, G.4    Cobelli, C.5
  • 17
    • 0032594858 scopus 로고    scopus 로고
    • Neural-network models for the blood glucose metabolism of a diabetic
    • Tresp V, Briegel T, Moody J. Neural-network models for the blood glucose metabolism of a diabetic. IEEE Trans Neural Netw. 1999;10(5):1204-13.
    • (1999) IEEE Trans Neural Netw , vol.10 , Issue.5 , pp. 1204-1213
    • Tresp, V.1    Briegel, T.2    Moody, J.3
  • 21
    • 84885949386 scopus 로고    scopus 로고
    • Improved disorder prediction by combination of orthogonal approaches
    • Schlessinger A, Punta M, Yachdav G, Kajan L, Rost B. Improved disorder prediction by combination of orthogonal approaches. PLoS One. 2009;4(2):e4433.
    • (2009) PLoS One , vol.4 , Issue.2
    • Schlessinger, A.1    Punta, M.2    Yachdav, G.3    Kajan, L.4    Rost, B.5
  • 22
    • 77955685586 scopus 로고    scopus 로고
    • On the dynamic selection of biometric fusion algorithms
    • Vatsa M, Singh R, Noore A, Ross A. On the dynamic selection of biometric fusion algorithms. IEEE Trans Inf Foren Sec. 2010;5(3):470-9.
    • (2010) IEEE Trans Inf Foren Sec , vol.5 , Issue.3 , pp. 470-479
    • Vatsa, M.1    Singh, R.2    Noore, A.3    Ross, A.4
  • 25
    • 84855825553 scopus 로고    scopus 로고
    • Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients
    • Daskalaki E, Prountzou A, Diem P, Mougiakakou SG. Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients. Diabetes Technol Ther. 2012;14(2):168-74.
    • (2012) Diabetes Technol Ther , vol.14 , Issue.2 , pp. 168-174
    • Daskalaki, E.1    Prountzou, A.2    Diem, P.3    Mougiakakou, S.G.4
  • 26
    • 78650252142 scopus 로고    scopus 로고
    • Correction of regression predictions using the secondary learner on the sensitivity analysis outputs
    • Bosnic Z, Kononenko I. Correction of regression predictions using the secondary learner on the sensitivity analysis outputs. Computing Inform. 2010;29(6):929-46.
    • (2010) Computing Inform , vol.29 , Issue.6 , pp. 929-946
    • Bosnic, Z.1    Kononenko, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.