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Volumn 83, Issue 2, 2006, Pages 111-119

Prediction of target range of intact parathyroid hormone in hemodialysis patients with artificial neural network

Author keywords

Hemodialysis; Neural network; Parathyroid hormone

Indexed keywords

HEMODIALYSIS; HEMODIALYSIS PATIENTS; PARATHYROID HORMONE; PLASMA IPTH;

EID: 33746903602     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2006.06.001     Document Type: Article
Times cited : (11)

References (26)
  • 1
    • 83055172414 scopus 로고    scopus 로고
    • K/DOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease
    • National Kidney Foundation
    • National Kidney Foundation. K/DOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease. Am. J. Kidney Dis. 42 Suppl. 3 (2003) 1-201
    • (2003) Am. J. Kidney Dis. , vol.42 , Issue.SUPPL. 3 , pp. 1-201
  • 2
    • 0028788276 scopus 로고
    • Application of artificial neural networks to clinical medicine
    • Baxt W.G. Application of artificial neural networks to clinical medicine. Lancet 346 (1995) 1135-1138
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 3
    • 0035871371 scopus 로고    scopus 로고
    • Artificial neural networks: opening the black box
    • Dayhoff J.E., and DeLeo J.M. Artificial neural networks: opening the black box. Cancer 91 Suppl. (2001) 1615-1635
    • (2001) Cancer , vol.91 , Issue.SUPPL , pp. 1615-1635
    • Dayhoff, J.E.1    DeLeo, J.M.2
  • 4
    • 26444610828 scopus 로고    scopus 로고
    • Applying an artificial neural network to predict total body water in hemodialysis patients
    • Chiu J.S., Chong C.F., Lin Y.F., Wu C.C., Wang Y.F., and Li Y.C. Applying an artificial neural network to predict total body water in hemodialysis patients. Am. J. Nephrol. 25 (2005) 507-513
    • (2005) Am. J. Nephrol. , vol.25 , pp. 507-513
    • Chiu, J.S.1    Chong, C.F.2    Lin, Y.F.3    Wu, C.C.4    Wang, Y.F.5    Li, Y.C.6
  • 5
    • 0028820429 scopus 로고
    • Artificial neural networks for decision support in clinical medicine
    • Forsstrom J.J., and Dalton K.J. Artificial neural networks for decision support in clinical medicine. Ann. Med. 27 (1995) 509-517
    • (1995) Ann. Med. , vol.27 , pp. 509-517
    • Forsstrom, J.J.1    Dalton, K.J.2
  • 6
    • 0036127092 scopus 로고    scopus 로고
    • A review of evidence of health benefit from artificial neural networks in medical intervention
    • Lisboa P.J. A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Netw. 15 (2002) 11-39
    • (2002) Neural Netw. , vol.15 , pp. 11-39
    • Lisboa, P.J.1
  • 7
    • 0028885032 scopus 로고
    • Introduction to neural networks
    • Cross S.S., Harrison R.F., and Kennedy R.L. Introduction to neural networks. Lancet 346 (1995) 1075-1079
    • (1995) Lancet , vol.346 , pp. 1075-1079
    • Cross, S.S.1    Harrison, R.F.2    Kennedy, R.L.3
  • 8
    • 23644442557 scopus 로고    scopus 로고
    • The bootstrap: a technique for data-driven statistics. Using computer-intensive analyses to explore experimental data
    • Henderson A.R. The bootstrap: a technique for data-driven statistics. Using computer-intensive analyses to explore experimental data. Clin. Chim. Acta 359 (2005) 1-26
    • (2005) Clin. Chim. Acta , vol.359 , pp. 1-26
    • Henderson, A.R.1
  • 9
    • 0141506860 scopus 로고    scopus 로고
    • Predicting mortality in patients with cirrhosis of liver with application of neural network technology
    • Banerjee R., Das A., Ghoshal U.C., and Sinha M. Predicting mortality in patients with cirrhosis of liver with application of neural network technology. J. Gastroenterol. Hepatol. 18 (2003) 1054-1060
    • (2003) J. Gastroenterol. Hepatol. , vol.18 , pp. 1054-1060
    • Banerjee, R.1    Das, A.2    Ghoshal, U.C.3    Sinha, M.4
  • 10
    • 0142155223 scopus 로고    scopus 로고
    • Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model
    • Das A., Ben-Menachem T., Cooper G.S., Chak A., Sivak Jr. M.V., Gone J.A., and Wong R.C. Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Lancet 362 (2003) 1261-1266
    • (2003) Lancet , vol.362 , pp. 1261-1266
    • Das, A.1    Ben-Menachem, T.2    Cooper, G.S.3    Chak, A.4    Sivak Jr., M.V.5    Gone, J.A.6    Wong, R.C.7
  • 11
    • 17844393622 scopus 로고    scopus 로고
    • Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses
    • Szpurek D., Moszynski R., Smolen A., and Sajdak S. Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses. Int. J. Gynaecol. Obstet. 89 (2005) 108-113
    • (2005) Int. J. Gynaecol. Obstet. , vol.89 , pp. 108-113
    • Szpurek, D.1    Moszynski, R.2    Smolen, A.3    Sajdak, S.4
  • 12
    • 10244259252 scopus 로고    scopus 로고
    • Forecasting model for the incidence of hepatitis A based on artificial neural network
    • Guan P., Huang D.S., and Zhou B.S. Forecasting model for the incidence of hepatitis A based on artificial neural network. World J. Gastroenterol. 10 (2004) 3579-3582
    • (2004) World J. Gastroenterol. , vol.10 , pp. 3579-3582
    • Guan, P.1    Huang, D.S.2    Zhou, B.S.3
  • 13
    • 0033623037 scopus 로고    scopus 로고
    • Application of neural networks and sensitivity analysis to improved prediction of trauma survival
    • Hunter A., Kennedy L., Henry J., and Ferguson I. Application of neural networks and sensitivity analysis to improved prediction of trauma survival. Comput. Meth. Programs. Biomed. 62 (2000) 11-19
    • (2000) Comput. Meth. Programs. Biomed. , vol.62 , pp. 11-19
    • Hunter, A.1    Kennedy, L.2    Henry, J.3    Ferguson, I.4
  • 14
    • 2942572888 scopus 로고    scopus 로고
    • Prediction of left ventricular ejection fraction in patients with coronary artery disease based on an analysis of perfusion patterns at rest. Assessment by an artificial neural network
    • Stefaniak B., Cholewinski W., and Tarkowska A. Prediction of left ventricular ejection fraction in patients with coronary artery disease based on an analysis of perfusion patterns at rest. Assessment by an artificial neural network. Nucl. Med. Rev. Cent. East. Eur. 7 (2004) 7-12
    • (2004) Nucl. Med. Rev. Cent. East. Eur. , vol.7 , pp. 7-12
    • Stefaniak, B.1    Cholewinski, W.2    Tarkowska, A.3
  • 15
    • 0033069710 scopus 로고    scopus 로고
    • Partial retraining: a new approach to input relevance determination
    • van de Laar P., Heskes T., and Gielen S. Partial retraining: a new approach to input relevance determination. Int. J. Neural Syst. 9 (1999) 75-85
    • (1999) Int. J. Neural Syst. , vol.9 , pp. 75-85
    • van de Laar, P.1    Heskes, T.2    Gielen, S.3
  • 16
    • 0043126911 scopus 로고    scopus 로고
    • Logistic regression and artificial neural network classification models: a methodology review
    • Dreiseitl S., and Ohno-Machado L. Logistic regression and artificial neural network classification models: a methodology review. J. Biomed. Inform. 35 (2002) 352-359
    • (2002) J. Biomed. Inform. , vol.35 , pp. 352-359
    • Dreiseitl, S.1    Ohno-Machado, L.2
  • 17
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanley J.A., and McNeil B.J. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148 (1983) 839-843
    • (1983) Radiology , vol.148 , pp. 839-843
    • Hanley, J.A.1    McNeil, B.J.2
  • 19
    • 0020063002 scopus 로고
    • A review of goodness of fit statistics for use in the development of logistic regression models
    • Lemeshow S., and Hosmer Jr. D.W. A review of goodness of fit statistics for use in the development of logistic regression models. Am. J. Epidemiol. 115 (1982) 92-106
    • (1982) Am. J. Epidemiol. , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer Jr., D.W.2
  • 22
    • 4544258100 scopus 로고    scopus 로고
    • Comparison of logistic regression and neural network analysis applied to predicting living setting after hip fracture
    • Ottenbacher K.J., Linn R.T., Smith P.M., Illig S.B., Mancuso M., and Granger C.V. Comparison of logistic regression and neural network analysis applied to predicting living setting after hip fracture. Ann. Epidemiol. 14 (2004) 551-559
    • (2004) Ann. Epidemiol. , vol.14 , pp. 551-559
    • Ottenbacher, K.J.1    Linn, R.T.2    Smith, P.M.3    Illig, S.B.4    Mancuso, M.5    Granger, C.V.6
  • 24
    • 14844352880 scopus 로고    scopus 로고
    • Secondary hyperparathyroidism: review of the disease and its treatment
    • de Francisco A.L. Secondary hyperparathyroidism: review of the disease and its treatment. Clin. Ther. 26 (2004) 1976-1993
    • (2004) Clin. Ther. , vol.26 , pp. 1976-1993
    • de Francisco, A.L.1
  • 25
    • 0029840811 scopus 로고    scopus 로고
    • Neural networks in clinical medicine
    • Penny W., and Frost D. Neural networks in clinical medicine. Med. Decis. Making 16 (1996) 386-398
    • (1996) Med. Decis. Making , vol.16 , pp. 386-398
    • Penny, W.1    Frost, D.2
  • 26
    • 18744413287 scopus 로고    scopus 로고
    • Estimating misclassification error with small samples via bootstrap cross-validation
    • Fu W.J., Carroll R.J., and Wang S. Estimating misclassification error with small samples via bootstrap cross-validation. Bioinformatics 21 (2005) 1979-1986
    • (2005) Bioinformatics , vol.21 , pp. 1979-1986
    • Fu, W.J.1    Carroll, R.J.2    Wang, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.