-
1
-
-
84860424081
-
Data mining techniques applied to medical information
-
I. -N. Lee, S. -C. Liao, and M. Embrechts, Data mining techniques applied to medical information, Med Inform 25(2) (2000), 81-102.
-
(2000)
Med Inform
, vol.25
, Issue.2
, pp. 81-102
-
-
Lee, I.-.1
Liao, .-C.2
Embrechts, M.3
-
2
-
-
0032895111
-
Selected techniques for data mining in medicine
-
N. Lavrac, Selected techniques for data mining in medicine, Artif Intell Med 16 (1999), 3-23.
-
(1999)
Artif Intell Med
, vol.16
, pp. 3-23
-
-
Lavrac, N.1
-
3
-
-
0036756222
-
Uniqueness of medical data mining
-
K. J. Cios and G. W. Moore, Uniqueness of medical data mining, Artif Intell Med 26 (2002), 1-24.
-
(2002)
Artif Intell Med
, vol.26
, pp. 1-24
-
-
Cios, K.J.1
Moore, G.W.2
-
4
-
-
34447273327
-
The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors
-
M. Rowan, T. Ryan, F. Hegarty, and N. O'Hare, The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors, Artif Intell Med 40 (2007), 211-221.
-
(2007)
Artif Intell Med
, vol.40
, pp. 211-221
-
-
Rowan, M.1
Ryan, T.2
Hegarty, F.3
O'Hare, N.4
-
5
-
-
3042601101
-
Predicting extubation outcome in preterm newborns: A comparison of Neural networks with clinical expertise and statistical modelling
-
M. Mueller, C. L. Wagner, D. J. Annibale, T. C. Hulsey, R. G. Knapp, and J. S. Almeida, Predicting extubation outcome in preterm newborns: A comparison of Neural networks with clinical expertise and statistical modelling, Paediatr Res 56(1) (2004), 11-18.
-
(2004)
Paediatr Res
, vol.56
, Issue.1
, pp. 11-18
-
-
Mueller, M.1
Wagner, C.L.2
Annibale, D.J.3
Hulsey, T.C.4
Knapp, R.G.5
Almeida, J.S.6
-
6
-
-
33646470217
-
Impact of missing data in evaluating artificial neural networks trained on complete data
-
M. Markey, G. Tourassi, M. Margolis, and D. DeLong, Impact of missing data in evaluating artificial neural networks trained on complete data, Comput Biol Med 36(5) (2005), 516-525.
-
(2005)
Comput Biol Med
, vol.36
, Issue.5
, pp. 516-525
-
-
Markey, M.1
Tourassi, G.2
Margolis, M.3
DeLong, D.4
-
7
-
-
33749146120
-
Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness?
-
L. Gabutti, N. Lötscher, J. Bianda, C. Marone, G. Mombelli, and M. Burnier, Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness? BMC Nephrol 7(13) (2006).
-
(2006)
BMC Nephrol
, vol.7
, Issue.13
-
-
Gabutti, L.1
Lötscher, N.2
Bianda, J.3
Marone, C.4
Mombelli, G.5
Burnier, M.6
-
8
-
-
34547458228
-
Combined association rules for dealing with missing values
-
J. -J. Shen, C. -C. Chang, and Y. -C. Li, Combined association rules for dealing with missing values, J Inf Sci 33(4) (2007), 468-480.
-
(2007)
J Inf Sci
, vol.33
, Issue.4
, pp. 468-480
-
-
Shen, J.-J.1
Chang, C.C.2
Li, Y.-.3
-
9
-
-
80052102395
-
A novel approach for incremental uncertainty rule generation from databases with missing values handling: Application to dynamic medical databases
-
K. Sokratis, C. Ioanna, V. Ioannis, and M. Nicos, A novel approach for incremental uncertainty rule generation from databases with missing values handling: Application to dynamic medical databases, Med Info Internet Med 30(3) (2005), 211-225
-
(2005)
Med Info Internet Med
, vol.30
, Issue.3
, pp. 211-225
-
-
Sokratis, K.1
Ioanna, C.2
Ioannis, V.3
Nicos, M.4
-
10
-
-
56549092151
-
Class structure visualisation with semi-supervised growing self-organizing maps
-
A. Hsu, S. K. Halgamuge, Class structure visualisation with semi-supervised growing self-organizing maps, Neurocomputing 71 (2008), 3124-3130.
-
(2008)
Neurocomputing
, vol.71
, pp. 3124-3130
-
-
Hsu, A.1
Halgamuge, S.K.2
-
11
-
-
4744349442
-
Bayesian analysis, pattern analysis, and datamining in health care
-
P. Lucas, Bayesian analysis, pattern analysis, and datamining in health care, Curr Opin Crit Care 10 (2004), 399-403.
-
(2004)
Curr Opin Crit Care
, vol.10
, pp. 399-403
-
-
Lucas, P.1
-
12
-
-
0034960264
-
Missing value estimation methods for DNA microarrays
-
O. Troyanskaya, M. Cantor, G. Sherlock, P. Brown, T. Hastie, R. Tibshirani, D. Botstein, and R. B. Altman, Missing value estimation methods for DNA microarrays, Bioinformatics 17(6) (2001), 520-525.
-
(2001)
Bioinformatics
, vol.17
, Issue.6
, pp. 520-525
-
-
Troyanskaya, O.1
Cantor, M.2
Sherlock, G.3
Brown, P.4
Hastie, T.5
Tibshirani, R.6
Botstein, D.7
Altman, R.B.8
-
13
-
-
33644691638
-
Effects of the neural networks-Sigmoid function on KDD in the presence of imprecise data
-
J. F. Kros, M. Lin, and M. L. Brown, Effects of the neural networks-Sigmoid function on KDD in the presence of imprecise data, Computers Oper Res 33 (2006), 3136-3149.
-
(2006)
Computers Oper Res
, vol.33
, pp. 3136-3149
-
-
Kros, J.F.1
Lin, M.2
Brown, M.L.3
-
14
-
-
0343526733
-
MVC-a preprocessing method to deal with missing values
-
A. Ragel and B. Cremilleux, MVC-a preprocessing method to deal with missing values, Knowl-Based Syst 12 (1999), 285-291.
-
(1999)
Knowl-Based Syst
, vol.12
, pp. 285-291
-
-
Ragel, A.1
Cremilleux, B.2
-
15
-
-
33745977819
-
Inductive learning models with missing values
-
I. Fortes, L. Mora-Lopez, R. Morales, and F. Triguero, Inductive learning models with missing values, Math ComputModel 44 (2006), 790-806.
-
(2006)
Math ComputModel
, vol.44
, pp. 790-806
-
-
Fortes, I.1
Mora-Lopez, L.2
Morales, R.3
Triguero, F.4
-
16
-
-
33746346719
-
Robust rule-based prediction
-
J. Li, Robust rule-based prediction, IEEE Trans Knowl and Data Eng, 18(8) (2006), 1043-1054.
-
(2006)
IEEE Trans Knowl and Data Eng
, vol.18
, Issue.8
, pp. 1043-1054
-
-
Li, J.1
-
17
-
-
4043173346
-
Essential trauma care: strengthening trauma systems around the world
-
M. Joshipura, C. Mock, J. Goosen, and M. Peden, Essential trauma care: strengthening trauma systems around the world, Injury 35 (2004), 841-845.
-
(2004)
Injury
, vol.35
, pp. 841-845
-
-
Joshipura, M.1
Mock, C.2
Goosen, J.3
Peden, M.4
-
18
-
-
77950292301
-
-
TARN Online. Available: [last accessed 23 January 2008]
-
TARN (2006) The Trauma Audit and Research Network. Online. Available: http://www.tarn.ac.uk/content/downloads/36/FirstDecade.pdf. [last accessed 23 January 2008].
-
(2006)
The Trauma Audit and Research Network
-
-
-
19
-
-
0015962447
-
The injury severity score: a method for describing patients with multiple injuries and evaluating patient care
-
S. P. Baker, B. O'Neill, Jr. W. Haddon, and W. B. Long, The injury severity score: a method for describing patients with multiple injuries and evaluating patient care, J Trauma 14 (1974), 187-196.
-
(1974)
J Trauma
, vol.14
, pp. 187-196
-
-
Baker, S.P.1
O'Neill B., Jr.2
Haddon, W.3
Long, W.B.4
-
20
-
-
0004296889
-
-
Association for the Advancement of Automotive Medicine, 1990 revision, Des Pleines, IL, Association for the Advancement of Automotive Medicine
-
Association for the Advancement of Automotive Medicine, The abbreviated injury scale, 1990 revision, Des Pleines, IL, Association for the Advancement of Automotive Medicine, 1990
-
(1990)
The abbreviated injury scale
-
-
-
21
-
-
0002030953
-
Assessment of coma and impaired consciousness
-
G. Teasdale and B. Jennett, Assessment of coma and impaired consciousness. A practical scale, Lancet 2 (1974), 81-83.
-
(1974)
A practical scale, Lancet
, vol.2
, pp. 81-83
-
-
Teasdale, G.1
Jennett, B.2
-
22
-
-
1642401334
-
Longitudinal trends in trauma mortality and survival in Stoke-on-Trent 1992-1998
-
P. A. Oakley, G. Mackenzie, J. Templeton, A. L. Cook, and R. M. Kirby, Longitudinal trends in trauma mortality and survival in Stoke-on-Trent 1992-1998, Injury 35 (2004), 379-385.
-
(2004)
Injury
, vol.35
, pp. 379-385
-
-
Oakley, P.A.1
Mackenzie, G.2
Templeton, J.3
Cook, A.L.4
Kirby, R.M.5
-
23
-
-
85001555454
-
Data mining medical information: Should artificial neural networks be used to analyse trauma audit data?
-
T. Chesney, K. I. Penny, P. Oakley, S. Davies, D. Chesney, N. Maffulli, and J. Templeton, Data mining medical information: Should artificial neural networks be used to analyse trauma audit data? Int J Healthc Inf Syst Infor 1(2) (2006), 51-64.
-
(2006)
Int J Healthc Inf Syst Infor
, vol.1
, Issue.2
, pp. 51-64
-
-
Chesney, T.1
Penny, K.I.2
Oakley, P.3
Davies, S.4
Chesney, D.5
Maffulli, N.6
Templeton, J.7
-
24
-
-
0034285209
-
A comparison of patient characteristics and survival in two trauma centres located in different countries
-
J. Templeton, P. A. Oakley, G MacKenzie, A. L. Cook, D. Brand, R. J. Mullins, and D. D. Trunkey, A comparison of patient characteristics and survival in two trauma centres located in different countries, Injury 31 (2000), 493-501.
-
(2000)
Injury
, vol.31
, pp. 493-501
-
-
Templeton, J.1
Oakley, P.A.2
MacKenzie, G.3
Cook, A.L.4
Brand, D.5
Mullins, R.J.6
Trunkey, D.D.7
-
25
-
-
50249178920
-
-
Online Available: [last accessed 12 November 2007]
-
D. Watkins. 1997, Clementine's Neural Networks Technical Overview. Online Available: http://www.cs.bris.ac. uk/~cgc/METAL/Consortium/secure/neural overview.doc. [last accessed 12 November 2007].
-
(1997)
Clementine's Neural Networks Technical Overview
-
-
Watkins, D.1
-
28
-
-
0004012196
-
-
New York, Chapman and Hall
-
A. Gelman, J. Carlin, H. Stern, and D. B. Rubin, Bayesian Data Analysis, New York, Chapman and Hall, 1995.
-
(1995)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.2
Stern, H.3
Rubin, D.B.4
-
29
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
P. R. Rosenbaum and D. B. Rubin, The central role of the propensity score in observational studies for causal effects, Biometrika 70 (1983), 41-55.
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
31
-
-
0003684449
-
-
New York, Springer-Verlag
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, New York, Springer-Verlag, 2001.
-
(2001)
The Elements of Statistical Learning
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
32
-
-
0034333684
-
Stability problems with artificial neural networks and the ensemble solution
-
P. Cunningham, J. Carney, and S. Jacob, Stability problems with artificial neural networks and the ensemble solution, Artif Intel Med 20(3) (2000), 217-225.
-
(2000)
Artif Intel Med
, vol.20
, Issue.3
, pp. 217-225
-
-
Cunningham, P.1
Carney, J.2
Jacob, S.3
|