메뉴 건너뛰기




Volumn 37, Issue 9, 1999, Pages 845-853

Artificial neural networks in laboratory medicine and medical outcome prediction

Author keywords

Feed forward neural networks; Kohonen's self organizing map; Supervised learning; Unsupervised learning

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUDIOVISUAL EQUIPMENT; CLINICAL CHEMISTRY; CLINICAL STUDY; CLUSTER ANALYSIS; COMPUTER PROGRAM; DISCRIMINANT ANALYSIS; EXPERT SYSTEM; FACTORIAL ANALYSIS; LABORATORY; MOLECULE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; REVIEW; SURFACE PROPERTY; TECHNIQUE;

EID: 0032745223     PISSN: 14346621     EISSN: None     Source Type: Journal    
DOI: 10.1515/CCLM.1999.128     Document Type: Review
Times cited : (44)

References (35)
  • 1
    • 0009502324 scopus 로고
    • Applications of neural networks in chemistry
    • Maddalena D. Applications of neural networks in chemistry. Chem Austral 1993; May: 218-21.
    • (1993) Chem Austral , vol.MAY , pp. 218-221
    • Maddalena, D.1
  • 2
    • 0027944333 scopus 로고
    • Artificial neural networks within medical decision support systems
    • Sharpe PK, Caleb P. Artificial neural networks within medical decision support systems. Scand J Clin Lab Invest 1994; 54:Suppl 219:3-11.
    • (1994) Scand J Clin Lab Invest , vol.54 , Issue.SUPPL. 219 , pp. 3-11
    • Sharpe, P.K.1    Caleb, P.2
  • 3
    • 0028788276 scopus 로고
    • Application of artificial neural networks to clinical medicine
    • Baxt WG. Application of artificial neural networks to clinical medicine. Lancet 1995; 346:1135-8.
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 4
    • 0031882297 scopus 로고    scopus 로고
    • Applications of soft computing in drug design
    • Maddalena D. Applications of soft computing in drug design. Exp Opin Ther Patents 1998; 8:249-58.
    • (1998) Exp Opin Ther Patents , vol.8 , pp. 249-258
    • Maddalena, D.1
  • 6
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart DE, Hinton GE, Williams RJ. Learning representations by back-propagating errors. Nature 1986; 323:533-6.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 9
    • 0025903750 scopus 로고
    • Novel method for the display of multivariate data using neural networks
    • Livingstone DJ, Hesketh G, Clayworth D. Novel method for the display of multivariate data using neural networks. J Mol Graphics 1991;9:115-8.
    • (1991) J Mol Graphics , vol.9 , pp. 115-118
    • Livingstone, D.J.1    Hesketh, G.2    Clayworth, D.3
  • 10
    • 0345493756 scopus 로고    scopus 로고
    • The determination of three subcutaneous adipose tissue compartments in NIDDM women with artificial neural networks and factor analysis
    • in press
    • Tafeit E, Möller R, Sudi K, Reibnegger G. The determination of three subcutaneous adipose tissue compartments in NIDDM women with artificial neural networks and factor analysis. Artif Intell Med 1999; in press.
    • (1999) Artif Intell Med
    • Tafeit, E.1    Möller, R.2    Sudi, K.3    Reibnegger, G.4
  • 13
    • 0026332221 scopus 로고
    • Neural networks as a tool for utilizing laboratory information: Comparison with linear discriminant analysis and with classification and regression trees
    • Reibnegger G, Weiss G, Werner-Felmayer G, Judmaier G, Wachter H. Neural networks as a tool for utilizing laboratory information: comparison with linear discriminant analysis and with classification and regression trees. Proc Natl Acad Sci USA 1991; 88:11426-30.
    • (1991) Proc Natl Acad Sci USA , vol.88 , pp. 11426-11430
    • Reibnegger, G.1    Weiss, G.2    Werner-Felmayer, G.3    Judmaier, G.4    Wachter, H.5
  • 14
  • 15
    • 0029035906 scopus 로고
    • Use of neural networks in predicting the risk of coronary artery disease
    • Lapuerta P, Azen SP, LaBree L. Use of neural networks in predicting the risk of coronary artery disease. Comput Biomed Res 1995; 28:38-52.
    • (1995) Comput Biomed Res , vol.28 , pp. 38-52
    • Lapuerta, P.1    Azen, S.P.2    LaBree, L.3
  • 16
    • 0029383123 scopus 로고
    • A comparison of performance of mathematical predictive methods for medical diagnosis: Identifying acute cardiac ischemia among emergency department patients
    • Selker HP, Griffith JL, Patil S, Long WJ, DAgostino RB. A comparison of performance of mathematical predictive methods for medical diagnosis: identifying acute cardiac ischemia among emergency department patients. J Investig Med 1995; 43:468-76.
    • (1995) J Investig Med , vol.43 , pp. 468-476
    • Selker, H.P.1    Griffith, J.L.2    Patil, S.3    Long, W.J.4    DAgostino, R.B.5
  • 17
    • 0028807208 scopus 로고
    • One-year mortality prognosis in heart failue: A neural network approach based on echocardiographic data
    • Ortiz J, Ghefter CG, Silva CE, Sabbatini RM. One-year mortality prognosis in heart failue: a neural network approach based on echocardiographic data. J Am Coll Cardiol 1995; 26:1586-93.
    • (1995) J Am Coll Cardiol , vol.26 , pp. 1586-1593
    • Ortiz, J.1    Ghefter, C.G.2    Silva, C.E.3    Sabbatini, R.M.4
  • 18
    • 0029879033 scopus 로고    scopus 로고
    • Use of neural networks to diagnose acute myocardial infarction. II. A clinical application
    • Pedersen SM, Jörgensen JS, Pedersen JB. Use of neural networks to diagnose acute myocardial infarction. II. A clinical application. Clin Chem 1996; 42:613-7.
    • (1996) Clin Chem , vol.42 , pp. 613-617
    • Pedersen, S.M.1    Jörgensen, J.S.2    Pedersen, J.B.3
  • 19
    • 0030882176 scopus 로고    scopus 로고
    • Early assessment of patients with suspected acute myocardial infarction by biochemical monitoring and neural network analysis
    • Ellenius J, Groth T, Lindahl B, Wallentin L. Early assessment of patients with suspected acute myocardial infarction by biochemical monitoring and neural network analysis. Clin Chem 1997; 43:1919-25.
    • (1997) Clin Chem , vol.43 , pp. 1919-1925
    • Ellenius, J.1    Groth, T.2    Lindahl, B.3    Wallentin, L.4
  • 20
    • 0028148549 scopus 로고
    • Artificial neural networks in the diagnosis and prognosis of prostate cancer: A pilot study
    • Snow PB, Smith DS, Catalona WJ. Artificial neural networks in the diagnosis and prognosis of prostate cancer: a pilot study. J Urol 1994; 152:1923-6.
    • (1994) J Urol , vol.152 , pp. 1923-1926
    • Snow, P.B.1    Smith, D.S.2    Catalona, W.J.3
  • 21
    • 0028005364 scopus 로고
    • Prediction of breast cancer malignancy using an artificial neural network
    • Floyd CE, Lo JY, Yun AJ, Sullivan DC, Kornguth PJ. Prediction of breast cancer malignancy using an artificial neural network. Cancer 1994; 74:2944-8.
    • (1994) Cancer , vol.74 , pp. 2944-2948
    • Floyd, C.E.1    Lo, J.Y.2    Yun, A.J.3    Sullivan, D.C.4    Kornguth, P.J.5
  • 22
    • 0030048533 scopus 로고    scopus 로고
    • Artificial neural network: Improving the quality of breast biopsy recommentations
    • Baker JA, Kornguth PJ, Lo JY, Floyd CE. Artificial neural network: improving the quality of breast biopsy recommentations. Radiology 1996; 198:131-5.
    • (1996) Radiology , vol.198 , pp. 131-135
    • Baker, J.A.1    Kornguth, P.J.2    Lo, J.Y.3    Floyd, C.E.4
  • 23
    • 0028219772 scopus 로고
    • Application of backpropagation neural networks to diagnosis of breast and ovarian cancer
    • Wilding P, Morgan MA, Grygotis AE, Shoffner MA, Rosato EF. Application of backpropagation neural networks to diagnosis of breast and ovarian cancer. Cancer Lett 1994; 77:145-53.
    • (1994) Cancer Lett , vol.77 , pp. 145-153
    • Wilding, P.1    Morgan, M.A.2    Grygotis, A.E.3    Shoffner, M.A.4    Rosato, E.F.5
  • 24
    • 0028944092 scopus 로고
    • Prediction of the early prognosis of the hepatectomized patient with hepatocellular carcinoma with a neural network
    • Hamamoto I, Okada S, Hashimoto T, Wakabayashi H, Maeba T, Maeta H. Prediction of the early prognosis of the hepatectomized patient with hepatocellular carcinoma with a neural network. Comput Biol Med 1995; 25:49-59.
    • (1995) Comput Biol Med , vol.25 , pp. 49-59
    • Hamamoto, I.1    Okada, S.2    Hashimoto, T.3    Wakabayashi, H.4    Maeba, T.5    Maeta, H.6
  • 25
    • 0031024354 scopus 로고    scopus 로고
    • Neural networks as predictors of outcomes in alcoholic patients with severe liver disease
    • Lapuerta P, Rajan S, Bonacini M. Neural networks as predictors of outcomes in alcoholic patients with severe liver disease. Hepatology 1997; 25:302-6.
    • (1997) Hepatology , vol.25 , pp. 302-306
    • Lapuerta, P.1    Rajan, S.2    Bonacini, M.3
  • 26
    • 0030958191 scopus 로고    scopus 로고
    • Focal liver disease: Neural network-aided diagnosis based on clinical and laboratory data
    • Rudzki K, Hartleb M, Sadowski T, Rudzka J. Focal liver disease: neural network-aided diagnosis based on clinical and laboratory data. Gastroenterol Clin Biol 1997; 21:98-102.
    • (1997) Gastroenterol Clin Biol , vol.21 , pp. 98-102
    • Rudzki, K.1    Hartleb, M.2    Sadowski, T.3    Rudzka, J.4
  • 30
    • 0029945680 scopus 로고    scopus 로고
    • Neural networks in high-performance liquid chromatography optimization: Response surface modeling
    • Metting HJ, Coenegracht PMJ. Neural networks in high-performance liquid chromatography optimization: response surface modeling. J Chromatogr A 1996; 728:47-53.
    • (1996) J Chromatogr A , vol.728 , pp. 47-53
    • Metting, H.J.1    Coenegracht, P.M.J.2
  • 31
    • 0029968812 scopus 로고    scopus 로고
    • Neural networks as a tool for compact representation of ab initio molecular potential energy surfaces
    • Tafeit E, Estelberger W, Horejsi R, Moeller R, Oettl K, Vrecko K, et al. Neural networks as a tool for compact representation of ab initio molecular potential energy surfaces. J Molecular Graphics 1996; 14:12-8.
    • (1996) J Molecular Graphics , vol.14 , pp. 12-18
    • Tafeit, E.1    Estelberger, W.2    Horejsi, R.3    Moeller, R.4    Oettl, K.5    Vrecko, K.6
  • 32
    • 0027298043 scopus 로고
    • Self-organizing neural networks as a means of cluster analysis in clinical chemistry
    • Reibnegger G, Weiss G, Wachter H. Self-organizing neural networks as a means of cluster analysis in clinical chemistry. Eur J Clin Chem Clin Biochem 1993; 31:311-6.
    • (1993) Eur J Clin Chem Clin Biochem , vol.31 , pp. 311-316
    • Reibnegger, G.1    Weiss, G.2    Wachter, H.3
  • 33
    • 0031962965 scopus 로고    scopus 로고
    • Application of Kohonen neural networks for the non-morphological distinction between glomerular and tubular renal disease
    • Van Biesen W, 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 Biesen, W.1    Sieben, G.2    Lameire, N.3    Vanholder, R.4
  • 35
    • 0029887766 scopus 로고    scopus 로고
    • Comparison of different neural network algorithms in the diagnosis of acute appendicitis
    • Pesonen E, Eskelinen M, Juhola M. Comparison of different neural network algorithms in the diagnosis of acute appendicitis, Int J Biomed Comput 1996; 40:227-33.
    • (1996) Int J Biomed Comput , vol.40 , pp. 227-233
    • Pesonen, E.1    Eskelinen, M.2    Juhola, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.