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Volumn 25, Issue 5, 2005, Pages 507-513

Applying an artificial neural network to predict total body water in hemodialysis patients

Author keywords

Anthropometry; Bioelectrical impedance; Body water; Hemodialysis; Neural network

Indexed keywords

ANALYTICAL ERROR; ANTHROPOMETRY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY WATER; BODY WEIGHT; CALCULATION; HEMODIALYSIS; HUMAN; PREDICTION; PRIORITY JOURNAL;

EID: 26444610828     PISSN: 02508095     EISSN: None     Source Type: Journal    
DOI: 10.1159/000088279     Document Type: Article
Times cited : (22)

References (32)
  • 1
    • 0142178088 scopus 로고    scopus 로고
    • Total body water estimation using bioelectrical impedance: A meta-analysis of the data available in the literature
    • Martinoli R, Mohamed EI, Maiolo C, Cianci R, Denoth F, Salvadori S, Iacopino L: Total body water estimation using bioelectrical impedance: a meta-analysis of the data available in the literature. Acta Diabetol 2003;40(suppl 1):S203-S206.
    • (2003) Acta Diabetol , vol.40 , Issue.1 SUPPL.
    • Martinoli, R.1    Mohamed, E.I.2    Maiolo, C.3    Cianci, R.4    Denoth, F.5    Salvadori, S.6    Iacopino, L.7
  • 2
    • 16544372287 scopus 로고    scopus 로고
    • Stratification of adverse outcomes by preoperative risk factors in coronary artery bypass graft patients: An artificial neural network prediction model
    • Chong CF, Li YC, Wang TL, Chang H: Stratification of adverse outcomes by preoperative risk factors in coronary artery bypass graft patients: an artificial neural network prediction model. AMIA Annu Symp Proc 2003, pp 160-164.
    • AMIA Annu Symp Proc 2003 , pp. 160-164
    • Chong, C.F.1    Li, Y.C.2    Wang, T.L.3    Chang, H.4
  • 3
    • 0028820429 scopus 로고
    • Artificial neural networks for decision support in clinical medicine
    • Forsstrom JJ, Dalton KJ: Artificial neural networks for decision support in clinical medicine. Ann Med 1995;27:509-517.
    • (1995) Ann Med , vol.27 , pp. 509-517
    • Forsstrom, J.J.1    Dalton, K.J.2
  • 4
    • 3042806768 scopus 로고    scopus 로고
    • Usefulness of artificial neural networks to predict follow-up dietary protein intake in hemodialysis patients
    • Gabutti L, Burnier M, Mombelli G, Male F, Pellegrini L, Marone C: Usefulness of artificial neural networks to predict follow-up dietary protein intake in hemodialysis patients. Kidney Int 2004;66:399-407.
    • (2004) Kidney Int , vol.66 , pp. 399-407
    • Gabutti, L.1    Burnier, M.2    Mombelli, G.3    Male, F.4    Pellegrini, L.5    Marone, C.6
  • 6
    • 0035107576 scopus 로고    scopus 로고
    • Using artificial intelligence to predict the equilibrated postdialysis blood urea concentration
    • Fernandez EA, Valtuille R, Willshaw P, Perazzo CA: Using artificial intelligence to predict the equilibrated postdialysis blood urea concentration. Blood Purif 2001;19:271-285.
    • (2001) Blood Purif , vol.19 , pp. 271-285
    • Fernandez, E.A.1    Valtuille, R.2    Willshaw, P.3    Perazzo, C.A.4
  • 7
    • 0035721779 scopus 로고    scopus 로고
    • Artificial intelligence: A new approach for prescription and monitoring of hemodialysis therapy
    • Akl AI, Sobh MA, Enab YM, Tattersall J: Artificial intelligence: a new approach for prescription and monitoring of hemodialysis therapy. Am J Kidney Dis 2001;38:1277-1283.
    • (2001) Am J Kidney Dis , vol.38 , pp. 1277-1283
    • Akl, A.I.1    Sobh, M.A.2    Enab, Y.M.3    Tattersall, J.4
  • 8
    • 0031921044 scopus 로고    scopus 로고
    • Prediction of equilibrated postdialysis BUN by an artificial neural network in high-efficiency hemodialysis
    • Guh JY, Yang CY, Yang JM, Chen LM, Lai YH: Prediction of equilibrated postdialysis BUN by an artificial neural network in high-efficiency hemodialysis. Am J Kidney Dis 1998;31:638-646.
    • (1998) Am J Kidney Dis , vol.31 , pp. 638-646
    • Guh, J.Y.1    Yang, C.Y.2    Yang, J.M.3    Chen, L.M.4    Lai, Y.H.5
  • 9
    • 0036024624 scopus 로고    scopus 로고
    • Prediction of lupus nephritis in patients with systemic lupus erythematosus using artificial neural networks
    • Rajimehr R, Farsiu S, Kouhsari LM, Bidari A, Lucas C, Yousefian S, Bahrami F: Prediction of lupus nephritis in patients with systemic lupus erythematosus using artificial neural networks. Lupus 2002;11:485-492.
    • (2002) Lupus , vol.11 , pp. 485-492
    • Rajimehr, R.1    Farsiu, S.2    Kouhsari, L.M.3    Bidari, A.4    Lucas, C.5    Yousefian, S.6    Bahrami, F.7
  • 10
    • 0036321578 scopus 로고    scopus 로고
    • Prediction of renal insufficiency in Pima Indians with nephropathy of type 2 diabetes mellitus
    • Goldfarb-Rumyantzev AS, Pappas L: Prediction of renal insufficiency in Pima Indians with nephropathy of type 2 diabetes mellitus. Am J Kidney Dis 2002;40:252-264.
    • (2002) Am J Kidney Dis , vol.40 , pp. 252-264
    • Goldfarb-Rumyantzev, A.S.1    Pappas, L.2
  • 11
    • 1542441761 scopus 로고    scopus 로고
    • Chronic nephropathies: Individual risk for progression to end-stage renal failure as predicted by an integrated probabilistic model
    • Dimitrov BD, Ruggenenti P, Stefanov R, Perna A, Remuzzi G: Chronic nephropathies: individual risk for progression to end-stage renal failure as predicted by an integrated probabilistic model. Nephron Clin Pract 2003;95:c47-c59.
    • (2003) Nephron Clin Pract , vol.95
    • Dimitrov, B.D.1    Ruggenenti, P.2    Stefanov, R.3    Perna, A.4    Remuzzi, G.5
  • 12
    • 0031962965 scopus 로고    scopus 로고
    • Application of Kohonen neural networks for the non-morphological distinction between glomerular and tubular renal disease
    • Van BW, Sieben G, Lameire N, Vanholder R: Application of Kohonen neural networks for the non-morphological distinction between glomerular and tubular renal disease. Nephrol Dial Transplant 1998;13:59-66.
    • (1998) Nephrol Dial Transplant , vol.13 , pp. 59-66
    • Van, B.W.1    Sieben, G.2    Lameire, N.3    Vanholder, R.4
  • 13
    • 0031983412 scopus 로고    scopus 로고
    • An artificial neural network can select patients at high risk of developing progressive IgA nephropathy more accurately than experienced nephrologists
    • Geddes CC, Fox JG, Allison ME, Boulton-Jones JM, Simpson K: An artificial neural network can select patients at high risk of developing progressive IgA nephropathy more accurately than experienced nephrologists. Nephrol Dial Transplant 1998;13:67-71.
    • (1998) Nephrol Dial Transplant , vol.13 , pp. 67-71
    • Geddes, C.C.1    Fox, J.G.2    Allison, M.E.3    Boulton-Jones, J.M.4    Simpson, K.5
  • 14
    • 0345328194 scopus 로고    scopus 로고
    • Prediction of delayed renal allograft function using an artificial neural network
    • Brier ME, Ray PC, Klein JB: Prediction of delayed renal allograft function using an artificial neural network. Nephrol Dial Transplant 2003;18:2655-2659.
    • (2003) Nephrol Dial Transplant , vol.18 , pp. 2655-2659
    • Brier, M.E.1    Ray, P.C.2    Klein, J.B.3
  • 15
    • 0033120319 scopus 로고    scopus 로고
    • Predicting cytomegalovirus disease after renal transplantation: An artificial neural network approach
    • Sheppard D, McPhee D, Darke C, Shrethra B, Moore R, Jurewitz A, Gray A: Predicting cytomegalovirus disease after renal transplantation: an artificial neural network approach. Int J Med Inform 1999;54:55-76.
    • (1999) Int J Med Inform , vol.54 , pp. 55-76
    • Sheppard, D.1    McPhee, D.2    Darke, C.3    Shrethra, B.4    Moore, R.5    Jurewitz, A.6    Gray, A.7
  • 16
    • 0030762058 scopus 로고    scopus 로고
    • Evaluation of complications of kidney transplantation using artificial neural networks
    • Abdolmaleki P, Movhead M, Taniguchi RI, Masuda K, Buadu LD: Evaluation of complications of kidney transplantation using artificial neural networks. Nucl Med Commun 1997;18:623-630.
    • (1997) Nucl Med Commun , vol.18 , pp. 623-630
    • Abdolmaleki, P.1    Movhead, M.2    Taniguchi, R.I.3    Masuda, K.4    Buadu, L.D.5
  • 17
    • 0018864615 scopus 로고
    • Total body water volumes for adult males and females estimated from simple anthropometric measurements
    • Watson PE, Watson ID, Batt RD: Total body water volumes for adult males and females estimated from simple anthropometric measurements. Am J Clin Nutr 1980;33:27-39.
    • (1980) Am J Clin Nutr , vol.33 , pp. 27-39
    • Watson, P.E.1    Watson, I.D.2    Batt, R.D.3
  • 18
    • 0015040524 scopus 로고
    • Relationship between total body water and surface area in normal and obese subjects
    • Hume R, Weyers E: Relationship between total body water and surface area in normal and obese subjects. J Clin Pathol 1971;24:234-238.
    • (1971) J Clin Pathol , vol.24 , pp. 234-238
    • Hume, R.1    Weyers, E.2
  • 19
    • 0030964859 scopus 로고    scopus 로고
    • Development of a population-specific regression equation to estimate total body water in hemodialysis patients
    • Chertow GM, Lazarus JM, Lew NL, Ma L, Lowrie EG: Development of a population-specific regression equation to estimate total body water in hemodialysis patients. Kidney Int 1997;51:1578-1582.
    • (1997) Kidney Int , vol.51 , pp. 1578-1582
    • Chertow, G.M.1    Lazarus, J.M.2    Lew, N.L.3    Ma, L.4    Lowrie, E.G.5
  • 20
    • 0035174139 scopus 로고    scopus 로고
    • Assessment of total body water from anthropometry-based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects
    • Lee SW, Song JH, Kim GA, Lee KJ, Kim MJ: Assessment of total body water from anthropometry-based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects. Nephrol Dial Transplant 2001;16:91-97.
    • (2001) Nephrol Dial Transplant , vol.16 , pp. 91-97
    • Lee, S.W.1    Song, J.H.2    Kim, G.A.3    Lee, K.J.4    Kim, M.J.5
  • 22
    • 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 GS, Chak A, Sivak MV Jr, Gonet JA, Wong RC: Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Lancet 2003;362:1261-1266.
    • (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    Gonet, J.A.6    Wong, R.C.7
  • 23
    • 0141506860 scopus 로고    scopus 로고
    • Predicting mortality in patients with cirrhosis of liver with application of neural network technology
    • Banerjee R, Das A, Ghoshal UC, Sinha M: Predicting mortality in patients with cirrhosis of liver with application of neural network technology. J Gastroenterol Hepatol 2003;18:1054-1060.
    • (2003) J Gastroenterol Hepatol , vol.18 , pp. 1054-1060
    • Banerjee, R.1    Das, A.2    Ghoshal, U.C.3    Sinha, M.4
  • 24
    • 17844393622 scopus 로고    scopus 로고
    • Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses
    • Szpurek D, Moszynski R, Smolen A, Sajdak S: Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses. Int J Gynaecol Obstet 2005;89:108-113.
    • (2005) Int J Gynaecol Obstet , vol.89 , pp. 108-113
    • Szpurek, D.1    Moszynski, R.2    Smolen, A.3    Sajdak, S.4
  • 25
    • 12944295220 scopus 로고    scopus 로고
    • Prediction of liver fibrosis and cirrhosis in chronic hepatitis B infection by serum proteomic fingerprinting: A pilot study
    • Poon TC, Hui AY, Chan HL, Ang IL, Chow SM, Wong N, Sung JJ: Prediction of liver fibrosis and cirrhosis in chronic hepatitis B infection by serum proteomic fingerprinting: a pilot study. Clin Chem 2005;51:328-335.
    • (2005) Clin Chem , vol.51 , pp. 328-335
    • Poon, T.C.1    Hui, A.Y.2    Chan, H.L.3    Ang, I.L.4    Chow, S.M.5    Wong, N.6    Sung, J.J.7
  • 26
    • 10244259252 scopus 로고    scopus 로고
    • Forecasting model for the incidence of hepatitis a based on artificial neural network
    • Guan P, Huang DS, Zhou BS: Forecasting model for the incidence of hepatitis A based on artificial neural network. World J Gastroenterol 2004;10:3579-3582.
    • (2004) World J Gastroenterol , vol.10 , pp. 3579-3582
    • Guan, P.1    Huang, D.S.2    Zhou, B.S.3
  • 27
    • 84942963994 scopus 로고
    • A simple, graphical method to evaluate laboratory assays
    • Krouwer JS, Monti KL: A simple, graphical method to evaluate laboratory assays. Eur J Clin Chem Clin Biochem 1995;33:525-527.
    • (1995) Eur J Clin Chem Clin Biochem , vol.33 , pp. 525-527
    • Krouwer, J.S.1    Monti, K.L.2
  • 30
    • 0028807127 scopus 로고
    • Multifrequency bioelectrical impedance estimates the distribution of body water
    • Cha K, Chertow GM, Gonzalez J, Lazarus JM, Wilmore DW: Multifrequency bioelectrical impedance estimates the distribution of body water. J Appl Physiol 1995;79:1316-1319.
    • (1995) J Appl Physiol , vol.79 , pp. 1316-1319
    • Cha, K.1    Chertow, G.M.2    Gonzalez, J.3    Lazarus, J.M.4    Wilmore, D.W.5
  • 31
    • 0142147189 scopus 로고    scopus 로고
    • The capabilities of artificial neural networks in body composition research
    • Linder R, Mohamed EI, De LA, Poppl SJ: The capabilities of artificial neural networks in body composition research. Acta Diabetol 2003;40(suppl 1):S9-S14.
    • (2003) Acta Diabetol , vol.40 , Issue.1 SUPPL.
    • Linder, R.1    Mohamed, E.I.2    De, L.A.3    Poppl, S.J.4
  • 32
    • 2542492371 scopus 로고    scopus 로고
    • A systematic evaluation of bioelectrical impedance measurement after hemodialysis session
    • Di Iorio BR, Scalfi L, Terracciano V, Bellizzi V: A systematic evaluation of bioelectrical impedance measurement after hemodialysis session. Kidney Int 2004;65:2435-2440.
    • (2004) Kidney Int , vol.65 , pp. 2435-2440
    • Di Iorio, B.R.1    Scalfi, L.2    Terracciano, V.3    Bellizzi, V.4


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