-
2
-
-
0027236578
-
Overtraining in neural networks that interpret clinical data
-
Astion ML, Wener MK, Thomas RG, Hunder GG, Bloch DA. Overtraining in neural networks that interpret clinical data. Clin Chem. 1993;39:1998-2004.
-
(1993)
Clin Chem
, vol.39
, pp. 1998-2004
-
-
Astion, M.L.1
Wener, M.K.2
Thomas, R.G.3
Hunder, G.G.4
Bloch, D.A.5
-
3
-
-
0026722929
-
The application of backpropagation neural networks to problems in pathology and laboratory medicine
-
Astion ML, Wilding P. The application of backpropagation neural networks to problems in pathology and laboratory medicine Arch Path Lab Med. 1992;116:995-1001.
-
(1992)
Arch Path Lab Med
, vol.116
, pp. 995-1001
-
-
Astion, M.L.1
Wilding, P.2
-
4
-
-
0026580903
-
Application of neural networks to the interpretation of laboratory data in cancer diagnosis
-
Astion ML, Wilding P. Application of neural networks to the interpretation of laboratory data in cancer diagnosis. Clin Chem. 1992;38:34-8.
-
(1992)
Clin Chem
, vol.38
, pp. 34-38
-
-
Astion, M.L.1
Wilding, P.2
-
5
-
-
0001160588
-
What size net gives valid generalization?
-
Baum EB, Haussler D. What size net gives valid generalization? Neural Comput. 1989;1 151-60.
-
(1989)
Neural Comput
, vol.1
, pp. 151-160
-
-
Baum, E.B.1
Haussler, D.2
-
6
-
-
0025934806
-
Use of an artificial neural network for the diagnosis of myocardial infarction
-
Baxt WG. Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med. 1991;13:843-8.
-
(1991)
Ann Intern Med
, vol.13
, pp. 843-848
-
-
Baxt, W.G.1
-
7
-
-
0026438282
-
Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction
-
Baxt WG. Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. Ann Emerg Med 1992;21:1439-44.
-
(1992)
Ann Emerg Med
, vol.21
, pp. 1439-1444
-
-
Baxt, W.G.1
-
8
-
-
0012624610
-
A neural network trained to identify the presence of myocardial infarction bases diagnostic decision on nonlinear relationships between input variables
-
Baxt WG. A neural network trained to identify the presence of myocardial infarction bases diagnostic decision on nonlinear relationships between input variables. Neural Comput Appl. 1993;1:176-82.
-
(1993)
Neural Comput Appl
, vol.1
, pp. 176-182
-
-
Baxt, W.G.1
-
9
-
-
0029295229
-
Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of myocardial infarction
-
Baxt WG, White H. Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of myocardial infarction. Neural Comput. 1995; 7:624-38.
-
(1995)
Neural Comput
, vol.7
, pp. 624-638
-
-
Baxt, W.G.1
White, H.2
-
10
-
-
0029256585
-
Determining input features for multilayer perceptrons
-
Belue LM, Bauer KW. Determining input features for multilayer perceptrons. Neurocomputing. 1995;7:111-22.
-
(1995)
Neurocomputing
, vol.7
, pp. 111-122
-
-
Belue, L.M.1
Bauer, K.W.2
-
11
-
-
0025590610
-
A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders
-
Bounds DG, Lloyd PJ, Mathew BG. A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders. Neural Networks. 1990;3: 583-91.
-
(1990)
Neural Networks
, vol.3
, pp. 583-591
-
-
Bounds, D.G.1
Lloyd, P.J.2
Mathew, B.G.3
-
12
-
-
0003802343
-
-
Belmont, CA: Wadsworth
-
Breiman L, Friedman J, Olshen R, Stone C. Classification and Regression Trees. Belmont, CA: Wadsworth, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
13
-
-
0347819680
-
Artificial neural networks for outcome prediction in cancer
-
San Diego, CA, June 5-9
-
Burke HB, Goodman PH, Rosen DB Artificial neural networks for outcome prediction in cancer. Proc World Conference on Neural Networks, San Diego, CA, June 5-9, 1994, 53-6.
-
(1994)
Proc World Conference on Neural Networks
, pp. 53-56
-
-
Burke, H.B.1
Goodman, P.H.2
Rosen, D.B.3
-
16
-
-
0000539898
-
How tight are the vapnik-chervonenkis bounds?
-
Cohn D, Tesauro G, How tight are the vapnik-chervonenkis bounds? Neural Comput. 1992;4:249-69.
-
(1992)
Neural Comput
, vol.4
, pp. 249-269
-
-
Cohn, D.1
Tesauro, G.2
-
17
-
-
0027565986
-
A neural network that predicts psychiatric length of stay
-
Davis G, Lowell WE, Davis GL. A neural network that predicts psychiatric length of stay MD Comput. 1993;10:87-92
-
(1993)
MD Comput
, vol.10
, pp. 87-92
-
-
Davis, G.1
Lowell, W.E.2
Davis, G.L.3
-
19
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the em algorithm. J R Statist Soc B. 1977;39:1-38.
-
(1977)
J R Statist Soc B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
21
-
-
0027250863
-
Identification of variegated coloring in skin tumors
-
September
-
Durg A, Stoecker WV, Cookson JP, Umbaugh SE, Moss RH. Identification of variegated coloring in skin tumors. IEEE Eng Mad Biol. September 1993, pp 71-4.
-
(1993)
IEEE Eng Mad Biol
, pp. 71-74
-
-
Durg, A.1
Stoecker, W.V.2
Cookson, J.P.3
Umbaugh, S.E.4
Moss, R.H.5
-
23
-
-
0027733424
-
Modeling mortality in the intensive care unit: Comparing the performance of back-propagation, associative-learning neural network with multivariate logistic regression
-
Doig GS, et al. Modeling mortality in the intensive care unit: comparing the performance of back-propagation, associative-learning neural network with multivariate logistic regression. Proc Annu Symp Comput Appl Med Care. 1993; pp 361-5.
-
(1993)
Proc Annu Symp Comput Appl Med Care
, pp. 361-365
-
-
Doig, G.S.1
-
26
-
-
0017480535
-
A recursive partitioning decision rule for nonparametric classification
-
Friedman JH. A recursive partitioning decision rule for nonparametric classification IEEE Trans Comput. 1977;16:404-8.
-
(1977)
IEEE Trans Comput
, vol.16
, pp. 404-408
-
-
Friedman, J.H.1
-
29
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (ROC) curve
-
Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve Radiology. 1982;143:29-36.
-
(1982)
Radiology
, vol.143
, pp. 29-36
-
-
Hanley, J.A.1
McNeil, B.J.2
-
31
-
-
0026388338
-
The early diagnosis of heart attacks: A neurocomputational approach
-
Harrison RF, Marshall SJ, Kennedy RL. The early diagnosis of heart attacks: a neurocomputational approach. International Joint Conference on Neural Networks, V1, 1991, pp 1-5.
-
(1991)
International Joint Conference on Neural Networks
, vol.1
, pp. 1-5
-
-
Harrison, R.F.1
Marshall, S.J.2
Kennedy, R.L.3
-
32
-
-
84907105591
-
Evaluating black-boxes as medical decision aids: Issues arising from a study of neural networks
-
Hart A, Wyatt J. Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks. Med Informatics. 1990;15:229-36.
-
(1990)
Med Informatics
, vol.15
, pp. 229-236
-
-
Hart, A.1
Wyatt, J.2
-
35
-
-
0025482774
-
Classification of somatosensory-evoked potential recorded from patients with severe head injuries
-
Holdaway RM, White MW, Marmarou A. Classification of somatosensory-evoked potential recorded from patients with severe head injuries. IEEE Eng Med Biol 1990;9:43-9
-
(1990)
IEEE Eng Med Biol
, vol.9
, pp. 43-49
-
-
Holdaway, R.M.1
White, M.W.2
Marmarou, A.3
-
36
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators Neural Networks. 1989,2:359-66.
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
39
-
-
0343878371
-
Neural networks for medical diagnosis
-
Maren AJ, Harston CT, Papp RM (eds). San Diego, CA: Academic Press
-
Jones D Neural networks for medical diagnosis In Maren AJ, Harston CT, Papp RM (eds). Handbook of Neural Computing Applications. San Diego, CA: Academic Press, 1990, pp 309-17
-
(1990)
Handbook of Neural Computing Applications
, pp. 309-317
-
-
Jones, D.1
-
43
-
-
0028328448
-
A technique for using neural network analysis to perform survival analysis of censored data
-
De Laurentiis M, Ravdin PM. A technique for using neural network analysis to perform survival analysis of censored data. Cancer Lett. 1994;77:127-38.
-
(1994)
Cancer Lett
, vol.77
, pp. 127-138
-
-
De Laurentiis, M.1
Ravdin, P.M.2
-
44
-
-
0023331258
-
An introduction to computing with neural nets
-
Lippmann RP. An introduction to computing with neural nets. IEEE ASSP Magazine. 1987;4(2):4-22.
-
(1987)
IEEE ASSP Magazine
, vol.4
, Issue.2
, pp. 4-22
-
-
Lippmann, R.P.1
-
45
-
-
0024771475
-
Pattern classification using neural networks
-
November
-
Lippmann RP. Pattern classification using neural networks. IEEE Communications Magazine. November 1989, pp 47-64.
-
(1989)
IEEE Communications Magazine
, pp. 47-64
-
-
Lippmann, R.P.1
-
46
-
-
0027212862
-
Statistics using neural networks: Chance effects
-
Livingstone DJ, Manallack DT. Statistics using neural networks: chance effects. J Med Chem 1993;36:1295-97.
-
(1993)
J Med Chem
, vol.36
, pp. 1295-1297
-
-
Livingstone, D.J.1
Manallack, D.T.2
-
47
-
-
0000478224
-
Exploiting prior knowledge in network optimization: An illustration from medical prognosis
-
Lowe D, Webb AR. Exploiting prior knowledge in network optimization: an illustration from medical prognosis. Network: Computation in Neural Systems. 1990;1:299-323.
-
(1990)
Network: Computation in Neural Systems
, vol.1
, pp. 299-323
-
-
Lowe, D.1
Webb, A.R.2
-
50
-
-
0025435169
-
Evacuation of neural network performance by receiver operating characteristic (ROC) analysis: Examples from the biotechnology domain
-
Meistrell ML Evacuation of neural network performance by receiver operating characteristic (ROC) analysis: examples from the biotechnology domain. Comput Meth Programs Biomed. 1990,32:73-80.
-
(1990)
Comput Meth Programs Biomed
, vol.32
, pp. 73-80
-
-
Meistrell, M.L.1
-
52
-
-
0026775675
-
Review of neural network applications in medical imaging and signal processing
-
Miller AS, Blott BH, Hames TK. Review of neural network applications in medical imaging and signal processing. Med Biol Eng Comput. 1992;30:449-64.
-
(1992)
Med Biol Eng Comput
, vol.30
, pp. 449-464
-
-
Miller, A.S.1
Blott, B.H.2
Hames, T.K.3
-
54
-
-
0027138772
-
Clinical decisions for psychiatric inpatients and their evaluation by a trained neural network
-
Modai I, Stoler M, Inbar-Saban N, Saban N. Clinical decisions for psychiatric inpatients and their evaluation by a trained neural network. Meth Inf Med. 1993;32:396-9.
-
(1993)
Meth Inf Med
, vol.32
, pp. 396-399
-
-
Modai, I.1
Stoler, M.2
Inbar-Saban, N.3
Saban, N.4
-
55
-
-
0027273716
-
Application of multivariate, fuzzy set and neural network analysis in quantitative cytological examinations
-
Molnar B, Szentirmay Z, Bodo M, Sugar J, Feher J. Application of multivariate, fuzzy set and neural network analysis in quantitative cytological examinations. Analyt Cell Pathol. 1993;5:161-75
-
(1993)
Analyt Cell Pathol
, vol.5
, pp. 161-175
-
-
Molnar, B.1
Szentirmay, Z.2
Bodo, M.3
Sugar, J.4
Feher, J.5
-
56
-
-
0002595536
-
Generalization and parameter estimation in feedforward nets: Some experiments
-
San Mateo, CA: Morgan Kauffman
-
Morgan N, Boulard H. Generalization and parameter estimation in feedforward nets: some experiments. Neural Information Processing Systems 2 San Mateo, CA: Morgan Kauffman, 1990, pp 630-7.
-
(1990)
Neural Information Processing Systems
, vol.2
, pp. 630-637
-
-
Morgan, N.1
Boulard, H.2
-
59
-
-
0027495376
-
Neural network in the clinical diagnosis of acute pulmonary embolism
-
Patil S, Henry J, Rubenfire M, Stein P. Neural network in the clinical diagnosis of acute pulmonary embolism. Chest. 1993; 104:1685-9.
-
(1993)
Chest
, vol.104
, pp. 1685-1689
-
-
Patil, S.1
Henry, J.2
Rubenfire, M.3
Stein, P.4
-
61
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
Poggio T, Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science. 1990;247: 978-82.
-
(1990)
Science
, vol.247
, pp. 978-982
-
-
Poggio, T.1
Girosi, F.2
-
62
-
-
0004042460
-
Proben 1 - A set of neural network benchmark problems and benchmarking rules
-
Fakultat fur Informatik, Universitat Karsruhe. in directory/pub/papers/techreport/1994
-
Prechelt L. Proben 1 - a set of neural network benchmark problems and benchmarking rules. Technical Report 21/94, Fakultat fur Informatik, Universitat Karsruhe. Available via ftp.ira.uka.de in directory/pub/papers/techreport/1994, 1994.
-
(1994)
Technical Report 21/94
-
-
Prechelt, L.1
-
63
-
-
0011290488
-
Evaluation of epidemiological data with neural networks
-
San Diego, CA, June 5-9
-
Quandt K, Waschulzik T, Lewis M, Hormann A, Engelbrecht R, Brauer W. Evaluation of epidemiological data with neural networks Proc World Conference on Neural Networks, San Diego, CA, June 5-9, 1994, pp 257-60.
-
(1994)
Proc World Conference on Neural Networks
, pp. 257-260
-
-
Quandt, K.1
Waschulzik, T.2
Lewis, M.3
Hormann, A.4
Engelbrecht, R.5
Brauer, W.6
-
64
-
-
33744584654
-
Induction of decision trees
-
Quinlan JR. Induction of decision trees Machine Learning. 1986;1:81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
65
-
-
0026332221
-
Neural networks as a tool for utilizing laboratory information: Comparison with linear discriminant analysis and with classification and regression trees
-
Reibnegger G. Neural networks as a tool for utilizing laboratory information: comparison with linear discriminant analysis and with classification and regression trees. Proc Nat Acad Sci. 1988;88:11426-30.
-
(1988)
Proc Nat Acad Sci
, vol.88
, pp. 11426-11430
-
-
Reibnegger, G.1
-
66
-
-
0001595997
-
Neural network classifiers estimate Bayesian a posteriori probabilities
-
Richard MD, Lippmann RP. Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computation. 1992,4:461-83.
-
(1992)
Neural Computation
, vol.4
, pp. 461-483
-
-
Richard, M.D.1
Lippmann, R.P.2
-
67
-
-
0028210335
-
Artificial neural networks for early detection and diagnosis of cancer
-
Rogers SK, Ruck DW, Kabrisky M. Artificial neural networks for early detection and diagnosis of cancer. Cancer Lett. 1994;77:79-83.
-
(1994)
Cancer Lett
, vol.77
, pp. 79-83
-
-
Rogers, S.K.1
Ruck, D.W.2
Kabrisky, M.3
-
69
-
-
0000646059
-
Learning internal representations by error propagation
-
Rumelhart DE, Mclelland JL (eds). Cambridge, MA: MIT Press
-
Rumelhart DE, Hinton GE, Williams RJ. Learning internal representations by error propagation. In Rumelhart DE, Mclelland JL (eds). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press, 1994, pp 318-64.
-
(1994)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition
, pp. 318-364
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
70
-
-
0038707120
-
Rule extraction from facts and neural networks
-
Paris, France
-
Saito K, Nakano R. Rule extraction from facts and neural networks. In International Neural Network Conf, Paris, France, 1990, pp 379-82.
-
(1990)
International Neural Network Conf
, pp. 379-382
-
-
Saito, K.1
Nakano, R.2
-
71
-
-
0000383868
-
Parallel networks that learn to pronounce English text
-
Sejnowski TJ, Rosenberg CR. Parallel networks that learn to pronounce English text. Complex Systems. 1987;1:145-68.
-
(1987)
Complex Systems
, vol.1
, pp. 145-168
-
-
Sejnowski, T.J.1
Rosenberg, C.R.2
-
72
-
-
84889544998
-
-
PhD thesis, Department of Electrical Engineering, Brunel University, Brunel, Borneo
-
Shen Z. An Application of Neural Networks for the Detection of Coronary Heart Disease. PhD thesis, Department of Electrical Engineering, Brunel University, Brunel, Borneo, 1994.
-
(1994)
An Application of Neural Networks for the Detection of Coronary Heart Disease
-
-
Shen, Z.1
-
73
-
-
0023137203
-
Quantification of agreement in psychiatric diagnosis revisited
-
Shrout PE, Spitzer RL, Fleiss JL. Quantification of agreement in psychiatric diagnosis revisited. Arch Gen Psychiat. 1987; 44:172-7.
-
(1987)
Arch Gen Psychiat
, vol.44
, pp. 172-177
-
-
Shrout, P.E.1
Spitzer, R.L.2
Fleiss, J.L.3
-
75
-
-
0026723889
-
Comparing and optimizing diagnostic tests: An information-theoretical approach
-
Somoza E, Mossman D. Comparing and optimizing diagnostic tests: an information-theoretical approach. Med Decis Making 1992;12:179-88.
-
(1992)
Med Decis Making
, vol.12
, pp. 179-188
-
-
Somoza, E.1
Mossman, D.2
-
76
-
-
0027729155
-
A neural network approach to predicting admission decisions in a psychiatric emergency room
-
Somoza E, Somoza JR. A neural network approach to predicting admission decisions in a psychiatric emergency room. Med Decis Making. 1993;13:273-80.
-
(1993)
Med Decis Making
, vol.13
, pp. 273-280
-
-
Somoza, E.1
Somoza, J.R.2
-
77
-
-
0027034072
-
Combining logistic regression and neural networks to create predictive models
-
Spackman KA. Combining logistic regression and neural networks to create predictive models. Proc Annu Symp Comput Appl Med Care, 1992, pp 456-39.
-
(1992)
Proc Annu Symp Comput Appl Med Care
, pp. 456-539
-
-
Spackman, K.A.1
-
78
-
-
0000629975
-
Cross-validation choice and assessment of statistical predictions
-
Stone M. Cross-validation choice and assessment of statistical predictions. J R Statist Soc B. 1974;36:111-47.
-
(1974)
J R Statist Soc B
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
80
-
-
0002855385
-
Scaling relationships in back-propagation learning
-
Tesauro G. Scaling relationships in back-propagation learning. Complex Systems. 1988;2:39-44.
-
(1988)
Complex Systems
, vol.2
, pp. 39-44
-
-
Tesauro, G.1
-
81
-
-
0011873498
-
Scaling relationships in back-propagation learning: Dependence on training set size
-
Tesauro G, Janssens B. Scaling relationships in back-propagation learning: dependence on training set size. Complex Systems. 1987;1:367-72.
-
(1987)
Complex Systems
, vol.1
, pp. 367-372
-
-
Tesauro, G.1
Janssens, B.2
-
82
-
-
0004169853
-
A comparison of some error estimates for neural network models
-
Department of Preventive Medicine and Biostatistics, University of Toronto, Toronto, Ont., Canada
-
Tibshirani R. A comparison of some error estimates for neural network models. Technical Report, Department of Preventive Medicine and Biostatistics, University of Toronto, Toronto, Ont., Canada, 1994.
-
(1994)
Technical Report
-
-
Tibshirani, R.1
-
83
-
-
0027288642
-
Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery
-
Tu JV, Guerriere RJ. Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery Comput Biomed Res. 1993;26:220-9.
-
(1993)
Comput Biomed Res
, vol.26
, pp. 220-229
-
-
Tu, J.V.1
Guerriere, R.J.2
-
84
-
-
30244528297
-
Biomedical application of neural networks in Japan
-
San Diego, CA: June 5-9
-
Usui S, Toda N. Biomedical application of neural networks in Japan. Proc World Conference on Neural Networks, San Diego, CA: June 5-9, 1994, pp 63-8.
-
(1994)
Proc World Conference on Neural Networks
, pp. 63-68
-
-
Usui, S.1
Toda, N.2
-
85
-
-
0012898666
-
Selecting neural network architectures via the prediction risk: Application to corporate bond rating prediction
-
Washington, DC: IEEE Computer Society Press
-
Utans J, Moody J. Selecting neural network architectures via the prediction risk: application to corporate bond rating prediction. Proc First Int Conf Artif Intell Applications on Wall Street. Washington, DC: IEEE Computer Society Press, 1993, pp 35-41.
-
(1993)
Proc First Int Conf Artif Intell Applications on Wall Street
, pp. 35-41
-
-
Utans, J.1
Moody, J.2
-
86
-
-
84889508121
-
-
[Various] Special session on biomedical applications. San Diego, CA, June 5-9
-
[Various] Special session on biomedical applications. Proc World Conference on Neural Networks, San Diego, CA, June 5-9, 1994, pp 37-138.
-
(1994)
Proc World Conference on Neural Networks
, pp. 37-138
-
-
-
87
-
-
84889536480
-
-
[Various]. Special session on medical applications. June 27-29, 1994
-
[Various]. Special session on medical applications. IEEE Int Conf Neural Networks, June 27-29, 1994, pp 3437-559, 1994.
-
(1994)
IEEE Int Conf Neural Networks
, pp. 3437-3559
-
-
-
88
-
-
1342291748
-
Neural networks in the biomedical sciences: A survey of 386 publications since the beginning of 1991
-
San Diego, CA, June 5-9
-
Weinstein JN, Myers T, Casciari JJ, Buolamwini J, Raghavan K. Neural networks in the biomedical sciences: a survey of 386 publications since the beginning of 1991. Proc World Conf Neural Networks, San Diego, CA, June 5-9, 1994, pp 121-6.
-
(1994)
Proc World Conf Neural Networks
, pp. 121-126
-
-
Weinstein, J.N.1
Myers, T.2
Casciari, J.J.3
Buolamwini, J.4
Raghavan, K.5
-
89
-
-
84889539368
-
Neural networks in the discovery of new treatments for cancer and AIDS
-
San Diego, CA, June 5-9
-
Weinstein, JN, Rubinstein, LV, Koutsoukos AD, et al. Neural networks in the discovery of new treatments for cancer and AIDS. Proc World Conf Neural Networks, San Diego, CA, June 5-9, 1994, pp 111-6.
-
(1994)
Proc World Conf Neural Networks
, pp. 111-116
-
-
Weinstein, J.N.1
Rubinstein, L.V.2
Koutsoukos, A.D.3
-
91
-
-
0028219772
-
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
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