-
2
-
-
0026409568
-
The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults
-
(1991)
Chest
, vol.100
, Issue.6
, pp. 1619-1636
-
-
Knaus, W.A.1
-
11
-
-
77956891394
-
A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship
-
(1970)
Biometrika
, vol.57
, pp. 579-594
-
-
Breslow, N.1
-
13
-
-
0024406354
-
Prognosis in primary biliary cirrhosis: Model for decision making
-
(1989)
Hepatology
, vol.10
, Issue.1
, pp. 1-7
-
-
Dickson, E.R.1
-
14
-
-
0022546041
-
Predicting outcome in coronary disease. Statistical models vs expert clinicians
-
(1986)
Am J Med
, vol.80
, Issue.4
, pp. 553-560
-
-
Lee, K.L.1
-
16
-
-
0030938915
-
A comparison of Cox proportional hazards and artificial neural network models for medical prognosis
-
(1997)
Comput Biol Med
, vol.27
, Issue.1
, pp. 55-65
-
-
Ohno-Machado, L.1
-
18
-
-
0025695593
-
Relation of pooled logistic regression to time-dependent Cox regression analysis: The Framingham heart study
-
(1990)
Stat Med
, vol.9
, Issue.12
, pp. 1501-1515
-
-
D'Agostino, R.B.1
-
20
-
-
0026409568
-
The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults
-
(1991)
Chest
, vol.100
, Issue.6
, pp. 1619-1636
-
-
Knaus, W.A.1
-
21
-
-
0030603526
-
Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm
-
(1996)
Lancet
, vol.347
, Issue.9009
, pp. 1146-1150
-
-
Dybowski, R.1
-
23
-
-
0026485412
-
Percutaneous transluminal coronary angioplasty in New York State. Risk factors and outcomes
-
(1992)
JAMA
, vol.268
, Issue.21
, pp. 3092-3097
-
-
Hannan, E.L.1
-
24
-
-
0027043213
-
Prediction of risk for hemodynamic compromise during percutaneous transluminal coronary angioplasty
-
(1992)
Am J Cardiol
, vol.70
, Issue.20
, pp. 1540-1545
-
-
Bergelson, B.A.1
-
26
-
-
0030883718
-
Patient-specific predictions of outcomes in myocardial infarction for real-time emergency use: A thrombolytic predictive instrument
-
(1997)
Ann Intern Med
, vol.127
, Issue.7
, pp. 538-556
-
-
Selker, H.P.1
-
27
-
-
0029789019
-
Predictors of outcome of epilepsy surgery: Multivariate analysis with validation
-
(1996)
Epilepsia
, vol.37
, Issue.9
, pp. 814-821
-
-
Armon, C.1
-
28
-
-
0031670506
-
The influence of diabetes mellitus on acute and late clinical outcomes following coronary stent implantation
-
(1998)
J Am Coll Cardiol
, vol.32
, Issue.3
, pp. 584-589
-
-
Abizaid, A.1
-
29
-
-
0031080885
-
An evaluation of machine-learning methods for predicting pneumonia mortality
-
(1997)
Artif Intel Med
, vol.9
, Issue.2
, pp. 107-138
-
-
Cooper, G.F.1
-
32
-
-
0031885698
-
Prediction of hemorrhagic blood loss with a genetic algorithm neural network
-
(1998)
J Appl Physiol
, vol.84
, Issue.1
, pp. 357-361
-
-
Jefferson, M.F.1
-
33
-
-
0026737665
-
Prediction criteria for successful weaning from respiratory support: Statistical and connectionist analyses
-
published erratum appears in Crit Care Med 1994;22(1):183
-
(1992)
Crit Care Med
, vol.20
, Issue.9
, pp. 1295-1301
-
-
Ashutosh, K.1
-
34
-
-
0030815647
-
A prognostic computer model to predict individual outcome in interventional cardiology. The INTERVENT project
-
(1997)
Eur Heart J
, vol.18
, Issue.10
, pp. 1611-1619
-
-
Budde, T.1
-
38
-
-
0031905762
-
The end of the injury severity score (ISS) and the trauma and injury severity score (TRISS): ICISS, an international classification of diseases, ninth revision-based prediction tool, out-performs both ISS and TRISS as predictors of trauma patient survival, hospital charges, and hospital length of stay
-
(1998)
J Trauma
, vol.44
, Issue.1
, pp. 41-49
-
-
Rutledge, R.1
-
39
-
-
0028871535
-
Prediction of rib fracture injury outcome by an artificial neural network
-
(1995)
J Trauma
, vol.39
, Issue.5
, pp. 915-921
-
-
Dombi, G.W.1
-
40
-
-
0031691761
-
Use of an artificial neural network to predict length of stay in acute pancreatitis
-
(1998)
Am Surgeon
, vol.64
, Issue.9
, pp. 868-872
-
-
Pofahl, W.E.1
-
41
-
-
0031513627
-
Modular neural networks for medical prognosis: Quantifying the benefits of combining neural networks for survival prediction
-
(1997)
Connect Sci
, vol.9
, Issue.1
, pp. 71-86
-
-
Ohno-Machado, L.1
Musen, M.2
-
42
-
-
0027653891
-
Prediction of valve-related complications for artificial heart valves using adaptive neural networks: A preliminary study
-
(1993)
J Heart Valve Dis
, vol.2
, Issue.5
, pp. 504-508
-
-
Katz, A.S.1
-
44
-
-
0035206621
-
Recurrent neural networks for predicting outcomes after liver transplantation: Representing temporal sequence of clinical observations
-
(2001)
Methods Inf Med
, vol.40
, Issue.5
, pp. 386-391
-
-
Parmanto, B.1
Doyle, H.R.2
-
45
-
-
0034970056
-
Clinical validation of an artificial neural network trained to identify acute allograft rejection in liver transplant recipients
-
(2001)
Liver Transplant
, vol.7
, Issue.6
, pp. 496-503
-
-
Hughes, V.F.1
-
46
-
-
0030751882
-
The prediction of risk of recurrence and time to recurrence of hepatocellular carcinoma after orthotopic liver transplantation: A pilot study
-
(1997)
Hepatology
, vol.26
, Issue.2
, pp. 444-450
-
-
Marsh, J.W.1
-
48
-
-
0028261647
-
Predicting outcomes after liver transplantation. A connectionist approach
-
(1994)
Ann Surg
, vol.219
, Issue.4
, pp. 408-415
-
-
Doyle, H.R.1
-
49
-
-
0029995166
-
Performance of multi-layer feedforward neural networks to predict liver transplantation outcome
-
(1996)
Methods Inform Med
, vol.35
, Issue.1
, pp. 12-18
-
-
Dvorchik, I.1
-
50
-
-
0033084166
-
DNA ploidy and cell cycle distribution of breast cancer aspirate cells measured by image cytometry and analyzed by artificial neural networks for their prognostic significance
-
(1999)
IEEE Trans Inf Technol Biomed
, vol.3
, Issue.1
, pp. 61-69
-
-
Naguib, R.N.1
-
51
-
-
0033663884
-
A neural network predicts progression for men with Gleason score 3 + 4 versus 4 + 3 tumors after radical prostatectomy
-
(2000)
Urology
, vol.56
, Issue.6
, pp. 994-999
-
-
Han, M.1
-
52
-
-
0032167961
-
Ten-year disease free survival after transperineal sonography-guided iodine-125 brachytherapy with or without 45-gray external beam irradiation in the treatment of patients with clinically localized, low to high Gleason grade prostate carcinoma
-
(1998)
Cancer
, vol.83
, Issue.5
, pp. 989-1001
-
-
Ragde, H.1
-
53
-
-
0031866151
-
Neural network analysis of combined conventional and experimental prognostic markers in prostate cancer: A pilot study
-
(1998)
Br J Cancer
, vol.78
, Issue.2
, pp. 246-250
-
-
Naguib, R.N.1
-
54
-
-
0030743761
-
Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions
-
(1997)
Lancet
, vol.350
, Issue.9076
, pp. 469-472
-
-
Bottaci, L.1
-
55
-
-
0030764424
-
Prediction of nodal metastasis and prognosis in breast cancer: A neural model
-
(1997)
Anticancer Res
, vol.17
, Issue.4 A
, pp. 2735-2741
-
-
Naguib, R.N.1
-
56
-
-
0030951433
-
Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with non-small cell lung carcinoma
-
(1997)
Cancer
, vol.79
, Issue.7
, pp. 1338-1342
-
-
Jefferson, M.F.1
-
57
-
-
0031047117
-
Artificial neural networks improve the accuracy of cancer survival prediction
-
(1997)
Cancer
, vol.79
, Issue.4
, pp. 857-862
-
-
Burke, H.B.1
-
58
-
-
0028944092
-
Prediction of the early prognosis of the hepatectomized patient with hepatocellular carcinoma with a neural network
-
(1995)
Comput Biol Med
, vol.25
, Issue.1
, pp. 49-59
-
-
Hamamoto, I.1
-
59
-
-
0028044828
-
Artificial neural networks for cancer research: Outcome prediction
-
(1994)
Semin Surg Oncol
, vol.10
, Issue.1
, pp. 73-79
-
-
Burke, H.B.1
-
60
-
-
0035871397
-
Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: Prediction of pathologic stage and biochemical failure using an artificial neural network
-
(2001)
Cancer
, vol.91
, Issue.8 SUPPL.
, pp. 1653-1660
-
-
Ziada, A.M.1
-
61
-
-
0027529453
-
Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation
-
(1993)
J Fam Pract
, vol.36
, Issue.3
, pp. 297-303
-
-
Ebell, M.H.1
-
62
-
-
0027178064
-
A Nnw approach to probability of survival scoring for trauma quality assurance
-
(1993)
J Trauma
, vol.34
, Issue.6
, pp. 863-868
-
-
McGonigal, M.D.1
-
63
-
-
0031193620
-
Sequential versus standard neural networks for pattern recognition: An example using the domain of coronary heart disease
-
(1997)
Comput Biol Med
, vol.27
, Issue.4
, pp. 267-281
-
-
Ohno-Machado, L.1
Musen, M.2
-
64
-
-
0030763240
-
The application of neural networks in predicting the outcome of in vitro fertilization
-
(1997)
Hum Reprod
, vol.12
, Issue.7
, pp. 1454-1457
-
-
Kaufmann, S.J.1
-
67
-
-
0032032275
-
Predicting response to adjuvant and radiation therapy in patients with early stage breast carcinoma
-
(1998)
Cancer
, vol.821
, Issue.5
, pp. 874-877
-
-
Burke, H.B.1
-
68
-
-
0031047117
-
Artificial neural networks improve the accuracy of cancer survival prediction
-
(1997)
Cancer
, vol.79
, Issue.4
, pp. 857-862
-
-
Burke, H.B.1
|