메뉴 건너뛰기




Volumn 21, Issue 2, 1997, Pages 87-97

A neural network application to classification of health status of HIV/AIDS patients

Author keywords

HIV AIDS; Neural network

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPUTER MODEL; HEALTH STATUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; RELIABILITY;

EID: 0030929984     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022890223449     Document Type: Article
Times cited : (20)

References (25)
  • 1
    • 21344493313 scopus 로고
    • Neural networks for the MS/OR analyst: An application bibliography
    • Sharda, R., Neural networks for the MS/OR analyst: an application bibliography. Interfaces, 24(2):116-130, 1994.
    • (1994) Interfaces , vol.24 , Issue.2 , pp. 116-130
    • Sharda, R.1
  • 2
    • 0011971811 scopus 로고
    • Ranking college football teams: A neural network approach
    • Wilson, R. L., Ranking college football teams: a neural network approach. Interfaces 25(4):44-59, 1995.
    • (1995) Interfaces , vol.25 , Issue.4 , pp. 44-59
    • Wilson, R.L.1
  • 3
    • 84990556304 scopus 로고
    • Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems
    • Archer, N. P., and Wang, S., Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems. Dec. Sci. 24(1):60-75, 1993.
    • (1993) Dec. Sci. , vol.24 , Issue.1 , pp. 60-75
    • Archer, N.P.1    Wang, S.2
  • 4
    • 0346535518 scopus 로고
    • Using neural networks for classification tasks-some experiments on datasets and practical advice
    • Hart, A., Using neural networks for classification tasks-some experiments on datasets and practical advice, J. Operat. Res. Soc. 44:1129-1145, 1992.
    • (1992) J. Operat. Res. Soc. , vol.44 , pp. 1129-1145
    • Hart, A.1
  • 5
    • 84990585716 scopus 로고
    • Two-group classification using neural networks
    • Patuwo, E., Hu, M. H., and Hung, M. S., Two-group classification using neural networks. Dec. Sci. 24(4):825-845, 1993.
    • (1993) Dec. Sci. , vol.24 , Issue.4 , pp. 825-845
    • Patuwo, E.1    Hu, M.H.2    Hung, M.S.3
  • 6
    • 0000242096 scopus 로고
    • The unpredictability of standard back propagation neural networks in classification applications
    • Wang, S., The unpredictability of standard back propagation neural networks in classification applications. Manage. Sci. 41(3):555-559, 1995.
    • (1995) Manage. Sci. , vol.41 , Issue.3 , pp. 555-559
    • Wang, S.1
  • 7
    • 0027529453 scopus 로고
    • Artificial neural network for predicting failure to survive following in-hospital cardiopulmonary resuscitation
    • Ebell, M. H., Artificial neural network for predicting failure to survive following in-hospital cardiopulmonary resuscitation. J. Fam. Pract. 36(3):297-303, 1993.
    • (1993) J. Fam. Pract. , vol.36 , Issue.3 , pp. 297-303
    • Ebell, M.H.1
  • 8
    • 0028855843 scopus 로고
    • A neural network model for survival data
    • Faraggi, D., and Simon, R., A neural network model for survival data. Stat. Med. 14:73-82, 1995.
    • (1995) Stat. Med. , vol.14 , pp. 73-82
    • Faraggi, D.1    Simon, R.2
  • 9
    • 0025934806 scopus 로고
    • Use of an artificial neural network for the diagnosis of myocardial infarction
    • Baxt, W. G., Use of an artificial neural network for the diagnosis of myocardial infarction. Ann. Intern. Med. 115:843-848, 1991.
    • (1991) Ann. Intern. Med. , vol.115 , pp. 843-848
    • Baxt, W.G.1
  • 10
    • 0028519259 scopus 로고
    • On using feedforward neural networks for clinical diagnostic tasks
    • Dorffner, G., and Porenta, G., On using feedforward neural networks for clinical diagnostic tasks. Artificial Intell. Med. 6(5):417-435, 1994.
    • (1994) Artificial Intell. Med. , vol.6 , Issue.5 , pp. 417-435
    • Dorffner, G.1    Porenta, G.2
  • 11
    • 0025324727 scopus 로고
    • Analysis of the secondary structure of the human immunodeficiency virus (HIV) proteins p17, gp120, gp41 by computer modeling based on neural network methods
    • Andreassen, H., Bohr, H., Bohr, J., Brunak, S., Bugge, T., Cotterill, R. M., Jacobsen, C., Kusk, P., Lautrup, B., and Petersen, S. B., Analysis of the secondary structure of the human immunodeficiency virus (HIV) proteins p17, gp120, and gp41 by computer modeling based on neural network methods. J. Acquired Immune Def. Synd. 3(6):615-622, 1990.
    • (1990) J. Acquired Immune Def. Synd. , vol.3 , Issue.6 , pp. 615-622
    • Reassen, H.1    Bohr, H.2    Bohr, J.3    Brunak, S.4    Bugge, T.5    Cotterill, R.M.6    Jacobsen, C.7    Kusk, P.8    Lautrup, B.9    Petersen, S.B.10
  • 12
    • 0025730090 scopus 로고
    • Nuclear grading of breast carcinoma by image analysis: Classification by multivariate and neural network analysis
    • Dawson, A. E., Austin, R. E., Jr., and Weinberg, D. S., Nuclear grading of breast carcinoma by image analysis: classification by multivariate and neural network analysis. Am. J. Clin. Pathol. 95(4-1):S29-37, 1991.
    • (1991) Am. J. Clin. Pathol. , vol.95 , Issue.1-4
    • Dawson, A.E.1    Austin Jr., R.E.2    Weinberg, D.S.3
  • 13
    • 0028005364 scopus 로고
    • Prediction of breast cancer malignancy using an artificial neural network
    • Floyd, C. E., Jr., Lo, J. Y., Yun, A. J., Sullivan, D. C., and Kornguth, E J., Prediction of breast cancer malignancy using an artificial neural network. Cancer 74(11):2944-2948, 1994.
    • (1994) Cancer , vol.74 , Issue.11 , pp. 2944-2948
    • Floyd Jr., C.E.1    Lo, J.Y.2    Yun, A.J.3    Sullivan, D.C.4    Kornguth, E.J.5
  • 14
    • 0026794564 scopus 로고
    • A practical application of neural network analysis for predicting outcome of individual breast cancer patients
    • Ravdin, P. M., and Clark, G. M., A practical application of neural network analysis for predicting outcome of individual breast cancer patients. Breast Cancer Res. 22(3):285-23, 1992.
    • (1992) Breast Cancer Res. , vol.22 , Issue.3 , pp. 285-323
    • Ravdin, P.M.1    Clark, G.M.2
  • 16
    • 0027565986 scopus 로고
    • A neural network that predicts psychiatric length of stay
    • Davis, G. E., Lowell, W. E., and Davis, G. L., A neural network that predicts psychiatric length of stay. MD Comput. 10(2):87-92, 1993.
    • (1993) MD Comput. , vol.10 , Issue.2 , pp. 87-92
    • Davis, G.E.1    Lowell, W.E.2    Davis, G.L.3
  • 17
    • 0028537741 scopus 로고
    • Predicting length of stay for psychiatric diagnosis-related groups using neural networks
    • Lowell, W. E., and Davis, G. E., Predicting length of stay for psychiatric diagnosis-related groups using neural networks. J. Am. Med. Informat. Assoc. 1(6):459-466, 1994.
    • (1994) J. Am. Med. Informat. Assoc. , vol.1 , Issue.6 , pp. 459-466
    • Lowell, W.E.1    Davis, G.E.2
  • 19
    • 0028378760 scopus 로고
    • Polygenic trait analysis by neural network learning
    • Fu, L., Polygenic trait analysis by neural network learning. Art. Intell. Med. 6(1):51-65, 1994.
    • (1994) Art. Intell. Med. , vol.6 , Issue.1 , pp. 51-65
    • Fu, L.1
  • 20
    • 0026010812 scopus 로고
    • Speech recognition by an artificial neural network using findings on the afferent auditory system
    • Kurogi, S., Speech recognition by an artificial neural network using findings on the afferent auditory system. Biological Cybernet. 64(3):243-249, 1991.
    • (1991) Biological Cybernet. , vol.64 , Issue.3 , pp. 243-249
    • Kurogi, S.1
  • 21
    • 84985773782 scopus 로고
    • Artificial intelligence and generalized qualitative-response models: An empirical test on two audit decision-making domains
    • Hansen, J. V., McDonald, J. B., and Stice, J. D., Artificial intelligence and generalized qualitative-response models: an empirical test on two audit decision-making domains. Dec. Sci. 23(3):708-723, 1992.
    • (1992) Dec. Sci. , vol.23 , Issue.3 , pp. 708-723
    • Hansen, J.V.1    McDonald, J.B.2    Stice, J.D.3
  • 22
    • 84990571875 scopus 로고
    • The application of neural networks and a qualitative response model to the auditor's going concern uncertainty decision
    • Lenard, M. J., Alam, P., Madey, G. R., The application of neural networks and a qualitative response model to the auditor's going concern uncertainty decision. Dec. Sci. 26(2):209-227, 1995.
    • (1995) Dec. Sci. , vol.26 , Issue.2 , pp. 209-227
    • Lenard, M.J.1    Alam, P.2    Madey, G.R.3
  • 23
    • 0028548294 scopus 로고
    • Feedforward artificial neural networks for solving discrete multiple criteria decision making problems
    • Malakooti, B., and Zhou, Y. Q., Feedforward artificial neural networks for solving discrete multiple criteria decision making problems. Manag. Sci 40(11):1542-1561, 1994.
    • (1994) Manag. Sci , vol.40 , Issue.11 , pp. 1542-1561
    • Malakooti, B.1    Zhou, Y.Q.2
  • 24
    • 84990623144 scopus 로고
    • Artificial neural network models for pricing initial public offerings
    • Jain, B. A., and Nag, B. N., Artificial neural network models for pricing initial public offerings, Dec. Sci. 26(3):283-302, 1995.
    • (1995) Dec. Sci. , vol.26 , Issue.3 , pp. 283-302
    • Jain, B.A.1    Nag, B.N.2
  • 25
    • 9844244831 scopus 로고    scopus 로고
    • ®2, Frederick, MD: Ward Systems Groups, Inc., 1993
    • ®2, Frederick, MD: Ward Systems Groups, Inc., 1993.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.