-
1
-
-
33644921465
-
Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach
-
T. A. Etchells and P. J. G. Lisboa, "Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach, " Neural Networks, IEEE Transactions on, vol. 17, pp. 374-384, 2006.
-
(2006)
Neural Networks, IEEE Transactions on
, vol.17
, pp. 374-384
-
-
Etchells, T.A.1
Lisboa, P.J.G.2
-
2
-
-
20044375905
-
Development of axillary surgery in breast cancer
-
A. Luini, G. Gatti, B. Ballardini, S. Zurrida, V. Galimberti, P. Veronesi, A. R. Vento, S. Monti, G. Viale, G. Paganelli, and U. Veronesi, "Development of axillary surgery in breast cancer, " Ann Oncol, vol. 16, pp. 259-262, 2005.
-
(2005)
Ann Oncol
, vol.16
, pp. 259-262
-
-
Luini, A.1
Gatti, G.2
Ballardini, B.3
Zurrida, S.4
Galimberti, V.5
Veronesi, P.6
Vento, A.R.7
Monti, S.8
Viale, G.9
Paganelli, G.10
Veronesi, U.11
-
3
-
-
29844453312
-
American society of clinical oncology guideline recommendations for sentinel lymph node biopsy in early-stage breast cancer
-
G. H. Lyman et al., "American Society of Clinical Oncology Guideline Recommendations for Sentinel Lymph Node Biopsy in Early-Stage Breast Cancer, " J Clin Oncol, vol. 23, pp. 7703-7720, 2005.
-
(2005)
J Clin Oncol
, vol.23
, pp. 7703-7720
-
-
Lyman, G.H.1
-
4
-
-
0030994532
-
Sentinel lymphadenectomy in breast cancer
-
A. E. Giuliano, R. C. Jones, M. Brennan, and R. Statman, "Sentinel lymphadenectomy in breast cancer, " J Clin Oncol, vol. 15, pp. 2345-2350, 1997.
-
(1997)
J Clin Oncol
, vol.15
, pp. 2345-2350
-
-
Giuliano, A.E.1
Jones, R.C.2
Brennan, M.3
Statman, R.4
-
5
-
-
0002704161
-
Model-building strategies and methods for logistic regression
-
John Wiley & Sons, Inc, New York, NY
-
D. Hosmer and S. Lemeshow, "Model-building strategies and methods for logistic regression, " in Applied Logistic Regression: John Wiley & Sons, Inc, New York, NY, 2000, pp. 91-142.
-
(2000)
Applied Logistic Regression
, pp. 91-142
-
-
Hosmer, D.1
Lemeshow, S.2
-
6
-
-
84950442000
-
Logistic regression, survival analysis, and the kaplan-meier curve
-
B. Efron, "Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve, " Journal of the American Statistical Association, vol. 83, pp. 414-425, 1988.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 414-425
-
-
Efron, B.1
-
7
-
-
0027534004
-
The risk of determining risk with multivariable models
-
February
-
J. Concato, A. R. Feinstein, and T. R. Holford, "The Risk of Determining Risk with Multivariable Models, " Annals of Internal Medicine, vol. 118, pp. 201-210, February 1993.
-
(1993)
Annals of Internal Medicine
, vol.118
, pp. 201-210
-
-
Concato, J.1
Feinstein, A.R.2
Holford, T.R.3
-
8
-
-
0032445262
-
Methodological challenges in the evaluation of prognostic factors in breast cancer
-
D. G. Altman and G. H. Lyman, "Methodological challenges in the evaluation of prognostic factors in breast cancer, " Breast Cancer Research and Treatment, vol. 52, pp. 289-303, 1998.
-
(1998)
Breast Cancer Research and Treatment
, vol.52
, pp. 289-303
-
-
Altman, D.G.1
Lyman, G.H.2
-
9
-
-
0034728368
-
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
-
G. Schwarzer, W. Vach, and M. Schumacher, "On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology, " Statistics in Medicine, vol. 19, pp. 541-561, 2000.
-
(2000)
Statistics in Medicine
, vol.19
, pp. 541-561
-
-
Schwarzer, G.1
Vach, W.2
Schumacher, M.3
-
10
-
-
26844479149
-
Artificial neural networks for diagnosis and survival prediction in colon cancer
-
F. E. Ahmed, "Artificial neural networks for diagnosis and survival prediction in colon cancer, " Mol Cancer, vol. 4, p. 29, 2005.
-
(2005)
Mol Cancer
, vol.4
, pp. 29
-
-
Ahmed, F.E.1
-
11
-
-
0028733766
-
Comparing artificial neural networks to other statistical methods for medical outcome prediction
-
H. B. Burke, D. B. Rosen, and P. H. Goodman, "Comparing artificial neural networks to other statistical methods for medical outcome prediction, " IEEE World Congress on Computational Intelligence, IEEE International Conference on, pp. 2213-2216, 1994.
-
(1994)
IEEE World Congress on Computational Intelligence, IEEE International Conference on
, pp. 2213-2216
-
-
Burke, H.B.1
Rosen, D.B.2
Goodman, P.H.3
-
12
-
-
0031047117
-
Artificial neural networks improve the accuracy of cancer survival prediction
-
H. B. Burke, P. H. Goodman, D. B. Rosen, D. E. Henson, J. N. Weinstein, F. E. Harrell, J. J. R. Marks, D. P. Winchester, and D. G. Bostwick, "Artificial neural networks improve the accuracy of cancer survival prediction, " Cancer, vol. 79, pp. 857-862, 1997.
-
(1997)
Cancer
, vol.79
, pp. 857-862
-
-
Burke, H.B.1
Goodman, P.H.2
Rosen, D.B.3
Henson, D.E.4
Weinstein, J.N.5
Harrell, F.E.6
Marks, J.J.R.7
Winchester, D.P.8
Bostwick, D.G.9
-
14
-
-
11144273669
-
The perceptron: A probabilistic method for information storage in the brain
-
F. Rosenblatt, "The perceptron: a probabilistic method for information storage in the brain, " Psych Rev, vol. 65, pp. 386-407, 1959.
-
(1959)
Psych Rev
, vol.65
, pp. 386-407
-
-
Rosenblatt, F.1
-
15
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
M. F. Moller, "A scaled conjugate gradient algorithm for fast supervised learning, " Neural Networks, vol. 6, pp. 525-533, 1993.
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Moller, M.F.1
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