-
3
-
-
0344309885
-
Data mining issues and opportunities for building nursing knowledge
-
L. Goodwin, M. VanDyne, S. Lin and S. Talbert. Data mining issues and opportunities for building nursing knowledge. J. Biomed. Informat. 36 (2003) 379-388
-
(2003)
J. Biomed. Informat
, vol.36
, pp. 379-388
-
-
Goodwin, L.1
VanDyne, M.2
Lin, S.3
Talbert, S.4
-
4
-
-
0026775675
-
Review of neural network applications in medical imaging and signal processing
-
A. Miller, B. Blott and T. Hames. Review of neural network applications in medical imaging and signal processing. Med. Biol. Engg. Comp. 30 (1992) 449-464
-
(1992)
Med. Biol. Engg. Comp
, vol.30
, pp. 449-464
-
-
Miller, A.1
Blott, B.2
Hames, T.3
-
5
-
-
0023181523
-
Computer programs to support clinical decision making
-
E. H. Shortlie, Computer programs to support clinical decision making, J. Am. Med. Assoc. 258 (1987
-
(1987)
J. Am. Med. Assoc
, vol.258
-
-
Shortlie, E.H.1
-
6
-
-
85002448660
-
Review on prediction system for heart diagnosis using data mining techniques
-
D. Kundra and N. Kaur. Review on prediction system for heart diagnosis using data mining techniques. Int. J. Latest Res. Eng. Technol. 1 (2015) 9-14
-
(2015)
Int. J. Latest Res. Eng. Technol
, vol.1
, pp. 9-14
-
-
Kundra, D.1
Kaur, N.2
-
7
-
-
0027682531
-
Inductive and Bayesian learning in medical diagnosis
-
I. Kononenko. Inductive and Bayesian learning in medical diagnosis. Appl. Artif. Intel. 7 (1993) 317-37
-
(1993)
Appl. Artif. Intel
, vol.7
, pp. 317-337
-
-
Kononenko, I.1
-
8
-
-
0028349692
-
Machine learning techniques to diagnose breast cancer from fine-needle aspirates
-
W. H. Wolberg, W. N. Street and O. L. Mangasarian. Machine learning techniques to diagnose breast cancer from fine-needle aspirates. Cancer Lett. 77 (1994) 163-171
-
(1994)
Cancer Lett
, vol.77
, pp. 163-171
-
-
Wolberg, W.H.1
Street, W.N.2
Mangasarian, O.L.3
-
9
-
-
0034807546
-
Knowledge discovery approach to automated cardiac SPECT diagnosis
-
L. A. Kurgan, K. J. Cios, R. Tadeusiewicz, M. Ogiela and L. S. Goodenday. Knowledge discovery approach to automated cardiac SPECT diagnosis. Artif. Intel. Med. 23 (2001) 49-69
-
(2001)
Artif. Intel. Med
, vol.23
, pp. 49-69
-
-
Kurgan, L.A.1
Cios, K.J.2
Tadeusiewicz, R.3
Ogiela, M.4
Goodenday, L.S.5
-
10
-
-
84901196007
-
Early prediction of heart diseases using data mining
-
V. Chaurasia. Early prediction of heart diseases using data mining. Caribbean J. Sci. Technol. 1 (2013) 208-217
-
(2013)
Caribbean J. Sci. Technol
, vol.1
, pp. 208-217
-
-
Chaurasia, V.1
-
11
-
-
84901431429
-
A data mining approach for prediction of heart disease using neural networks
-
D. S. Chaitrali and A. S. Sulabha. A data mining approach for prediction of heart disease using neural networks. Int. J. Comput. Eng. Technol. 3 (2012) 30-40
-
(2012)
Int. J. Comput. Eng. Technol
, vol.3
, pp. 30-40
-
-
Chaitrali, D.S.1
Sulabha, A.S.2
-
12
-
-
56349089940
-
Support vector machines combined with feature selection for breast cancer diagnosis
-
A. M. Fatih. Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36 (2009) 3240-3247
-
(2009)
Expert Syst. Appl
, vol.36
, pp. 3240-3247
-
-
Fatih, A.M.1
-
13
-
-
84974722422
-
Diversity versus quality in classification ensembles based on feature selection
-
R. Lopez de Mantaras and E. Plaza (eds. Springer Verlag
-
P. Cunningham and J. G. Carney. Diversity versus quality in classification ensembles based on feature selection, 11th European Conf. Machine Learning (2000). Lecture Notes in Artificial Intelligence, R. Lopez de Mantaras and E. Plaza (eds.) (Springer Verlag, 2000), pp. 109-116
-
(2000)
11th European Conf. Machine Learning 2000). Lecture Notes in Artificial Intelligence
, pp. 109-116
-
-
Cunningham, P.1
Carney, J.G.2
-
16
-
-
0034333688
-
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
-
Y. Hayashi, R. Setiono and K. Yoshida. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intel. Med. 20 (2000) 205-216
-
(2000)
Artif. Intel. Med
, vol.20
, pp. 205-216
-
-
Hayashi, Y.1
Setiono, R.2
Yoshida, K.3
-
17
-
-
0034922742
-
Machine learning for medical diagnosis: History, state of the art and perspective
-
I. Kononenko. Machine learning for medical diagnosis: History, state of the art and perspective. Artif. Intel. Med. 23 (2001) 89-109
-
(2001)
Artif. Intel. Med
, vol.23
, pp. 89-109
-
-
Kononenko, I.1
-
18
-
-
0036146402
-
Lung cancer cell identification based on artificial neural network ensembles
-
Z. H. Zhou, Y. Jiang, Y. B. Yang and S. F. Chen. Lung cancer cell identification based on artificial neural network ensembles. Artif. Intel. Med. 24 (2002) 25-36
-
(2002)
Artif. Intel. Med
, vol.24
, pp. 25-36
-
-
Zhou, Z.H.1
Jiang, Y.2
Yang, Y.B.3
Chen, S.F.4
-
19
-
-
0003075266
-
Detecting abnormalities in colonoscopic images by textual description and neural networks
-
Chania, Greece
-
S. A. Karkanis, G. D. Magoulas, M. Grigoriadou and M. Schurr. Detecting abnormalities in colonoscopic images by textual description and neural networks. Proc. Machine Learning and Applications: Machine Learning in Medical Applications, Chania, Greece, pp. 59-62, 1999
-
(1999)
Proc. Machine Learning and Applications: Machine Learning in Medical Applications
, pp. 59-62
-
-
Karkanis, S.A.1
Magoulas, G.D.2
Grigoriadou, M.3
Schurr, M.4
-
21
-
-
77952351023
-
SDED: A novel filter method for cancer-related gene selection
-
W. Xu, M. Wang, X. Zhang, L. Wang and H. Feng, SDED: A novel filter method for cancer-related gene selection. Bio Inf. 2 (2008) 301-303
-
(2008)
Bio Inf
, vol.2
, pp. 301-303
-
-
Xu, W.1
Wang, M.2
Zhang, X.3
Wang, L.4
Feng, H.5
-
22
-
-
0041627900
-
Multiclass cancer classification using gene expression profiling and probabilistic neural networks
-
D. P. Berrar. C. S. Downes and W. Dubitzky, Multiclass cancer classification using gene expression profiling and probabilistic neural networks, Pacific Symp. Bio Comput. 8 (2003) 5-16
-
(2003)
Pacific Symp. Bio Comput
, vol.8
, pp. 5-16
-
-
Berrar, D.P.1
Downes, C.S.2
Dubitzky, W.3
-
23
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
S. Dudoit, J. Fridlyand and T. P. Speed. Comparison of discrimination methods for the classification of tumors using gene expression data. J. Am. Stat. Assoc. 97 (2002
-
(2002)
J. Am. Stat. Assoc
, vol.97
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
24
-
-
0035664710
-
Gene assessment and sample classification for Gene expression data using a genetic algorithm and k-nearest neighbor method
-
L. Li, T. A. Darden, C. R. Weingberg, A. J. Levine and L. G. Pedersen. Gene assessment and sample classification for Gene expression data using a genetic algorithm and k-nearest neighbor method. Comb. Chem. High Throughput Screen. 4 (2001) 727-739
-
(2001)
Comb. Chem. High Throughput Screen
, vol.4
, pp. 727-739
-
-
Li, L.1
Darden, T.A.2
Weingberg, C.R.3
Levine, A.J.4
Pedersen, L.G.5
-
25
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
J. Khan, et al., Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7 (2001) 673-679
-
(2001)
Nat. Med
, vol.7
, pp. 673-679
-
-
Khan, J.1
-
27
-
-
84862704825
-
Tumor classification using eigen gene-based classifier committee learning algorithm
-
Z. L. Sun, C. H. Zheng, Q. W. Gao, J. Zhang and D. X. Zhan. Tumor classification using eigen gene-based classifier committee learning algorithm. IEEE Signal Proces. Lett. 19 (2012) 455-458
-
(2012)
IEEE Signal Proces. Lett
, vol.19
, pp. 455-458
-
-
Sun, Z.L.1
Zheng, C.H.2
Gao, Q.W.3
Zhang, J.4
Zhan, D.X.5
-
28
-
-
84890117327
-
A hybrid intelligent system for medical data classification
-
M. Seera and C. P. Lim. A hybrid intelligent system for medical data classification. Expert Syst. Appl. 41 (2014) 2239-2249
-
(2014)
Expert Syst. Appl
, vol.41
, pp. 2239-2249
-
-
Seera, M.1
Lim, C.P.2
-
29
-
-
77957898242
-
A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification
-
C. Y. Fana, P. C. Chang, J. J. Lin and J. C. Hsieh. A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification. Appl. Soft Comput. 11 (2011) 632-644
-
(2011)
Appl. Soft Comput
, vol.11
, pp. 632-644
-
-
Fana, C.Y.1
Chang, P.C.2
Lin, J.J.3
Hsieh, J.C.4
-
31
-
-
80052050014
-
Pattern-And network-based classification techniques for multichannel medical data signals to improve brain diagnosis
-
W. A. Chaovalitwongse, R. S. Pottenger, S. Wang, Y. J. Fan and L. D. Iasemidis. Pattern-And network-based classification techniques for multichannel medical data signals to improve brain diagnosis. IEEE Trans. Syst. Man. Cybernet. A, Syst. Humans 41 (2011) 977-988
-
(2011)
IEEE Trans. Syst. Man. Cybernet. A Syst. Humans
, vol.41
, pp. 977-988
-
-
Chaovalitwongse, W.A.1
Pottenger, R.S.2
Wang, S.3
Fan, Y.J.4
Iasemidis, L.D.5
-
32
-
-
84879861294
-
An e cient SVM based tumor classification with symmetry non-negative matrix factorization using gene expression data
-
N. Yuvaraj and P. Vivekanandan. An e cient SVM based tumor classification with symmetry non-negative matrix factorization using gene expression data. Inf. Commun. Embed. Syst. (2013) 761-768
-
(2013)
Inf. Commun. Embed. Syst
, pp. 761-768
-
-
Yuvaraj, N.1
Vivekanandan, P.2
-
33
-
-
84907984820
-
AGFS: Adaptive genetic fuzzy system for medical data classification
-
B. Dennis, S. Muthukrishnan, AGFS: Adaptive genetic fuzzy system for medical data classification. Appl. Soft Comput. 25 (2014) 242-252
-
(2014)
Appl. Soft Comput
, vol.25
, pp. 242-252
-
-
Dennis, B.1
Muthukrishnan, S.2
-
34
-
-
77951675054
-
A new metaheuristic bat-inspired algorithm
-
Eds J. R. Gonzalez, et al., Studies in Computational Intelligence Springer Berlin, Heidelberg
-
X. S. Yang. A new metaheuristic bat-inspired algorithm, Nature Inspired Cooperative Strategies for Optimization, (NISCO 2010), Eds. J. R. Gonzalez, et al., Studies in Computational Intelligence (Springer Berlin, Heidelberg, 2010), pp. 65-74
-
(2010)
Nature Inspired Cooperative Strategies for Optimization, (NISCO 2010
, pp. 65-74
-
-
Yang, X.S.1
-
38
-
-
84900029480
-
Rough-fuzzy classifier: A system to predict the heart disease by blending two dierent set theories
-
K. Srinivas, G. R. Rao and A. Govardhan. Rough-fuzzy classifier: A system to predict the heart disease by blending two dierent set theories. Comput. Eng. Comput. Sci. 39(4) (2014) 2857-2868
-
(2014)
Comput. Eng. Comput. Sci
, vol.39
, Issue.4
, pp. 2857-2868
-
-
Srinivas, K.1
Rao, G.R.2
Govardhan, A.3
-
40
-
-
84973482152
-
FFBAT-optimized rule based fuzzy logic classifier for diabetes
-
G. T. Reddy and N. Khare, FFBAT-optimized rule based fuzzy logic classifier for diabetes. Int. J. Eng. Res. Africa 24 (2016) 137-152
-
(2016)
Int. J. Eng. Res. Africa
, vol.24
, pp. 137-152
-
-
Reddy, G.T.1
Khare, N.2
-
41
-
-
33847221479
-
Opposition-based learning: A new scheme for machine intelligence
-
Vienna, Austria
-
H. R. Tizhoosh. Opposition-based learning: A new scheme for machine intelligence, Proc. Int. Conf. Computational Intelligence Modeling Control and Automation, Vienna, Austria, Vol. 1, pp. 695-701, 2005
-
(2005)
Proc Int. Conf. Computational Intelligence Modeling Control and Automation
, vol.1
, pp. 695-701
-
-
Tizhoosh, H.R.1
|