-
1
-
-
78649298148
-
Partitioning an image database by K-means algorithm
-
Abed, H. and L. Zaoui, 2011. Partitioning an image database by K-means algorithm. J. Applied Sci., 11:16-25.
-
(2011)
J. Applied Sci.
, vol.11
, pp. 16-25
-
-
Abed, H.1
Zaoui, L.2
-
2
-
-
36049028672
-
A comparative analysis of discretization methods for medical datamining with Naive Bayesian classifier
-
DOI 10.1109/ICIT.2006.5, 4273200, Proceedings - 9th International Conference on Information Technology, ICIT 2006
-
Abraham, R., J. B. Simha and S. S. Iyengar, 2006. A comparative analysis of discretization methods for medical data mining with Naive Bayesian classifier. Proceeding of the 9th International Conference on Information Technology (ICIT06), Dcember 18-21, 2006, Bhubaneswar, pp:235-236. (Pubitemid 350080907)
-
(2007)
Proceedings - 9th International Conference on Information Technology, ICIT 2006
, pp. 235-236
-
-
Abraham, R.1
Simha, J.B.2
Iyengar, S.S.3
-
3
-
-
77953887312
-
Naive Bayes variants in classification learning
-
March 17-18, 2010, Shah Alam, Selangor
-
Al-Aidaroos, K. M., A. A. Bakar and Z. Othman, 2010. Naive Bayes variants in classification learning. Proceeding of the International conference on Information Retrieval and Knowledge Management (CAMP 2010), March 17-18, 2010, Shah Alam, Selangor, pp:276-281.
-
(2010)
Proceeding of the International Conference on Information Retrieval and Knowledge Management (CAMP 2010)
, pp. 276-281
-
-
Al-Aidaroos, K.M.1
Bakar, A.A.2
Othman, Z.3
-
4
-
-
36948999941
-
UCI machine learning repository of machine learning databases
-
School of Information and Computer Science, Irvine, CA
-
Asuncion, A. and D. Newman, 2007. UCI machine learning repository of machine learning databases. University of California, School of Information and Computer Science, Irvine, CA. http://www.ics.uci.edu/~mlearn/MLRepos itory.html
-
(2007)
University of California
-
-
Asuncion, A.1
Newman, D.2
-
5
-
-
33751040022
-
Wireless tele care system for intensive care unit of hospitals using bluetooth and embedded technology
-
Bai, V. T. and S. K. Srivatsa, 2006. Wireless tele care system for intensive care unit of hospitals using bluetooth and embedded technology. Inform. Technol. J., 5:1106-1112. (Pubitemid 44759719)
-
(2006)
Information Technology Journal
, vol.5
, Issue.6
, pp. 1106-1112
-
-
Bai, V.T.1
Srivatsa, S.K.2
-
6
-
-
37249089420
-
Predictive data mining in clinical medicine: Current issues and guidelines
-
DOI 10.1016/j.ijmedinf.2006.11.006, PII S1386505606002747
-
Bellazzi, R. and B. Zupan, 2008. Predictive data mining in clinical medicine: Current issues and guidelines. Int. J. Med. Inform., 77:81-97. (Pubitemid 350267316)
-
(2008)
International Journal of Medical Informatics
, vol.77
, Issue.2
, pp. 81-97
-
-
Bellazzi, R.1
Zupan, B.2
-
7
-
-
84862908338
-
Application of knowledge based system for diagnosis of osteoarthritis
-
Blessia, T. F., S. Singh, A. Kumar and J. J. Venmla, 2011. Application of knowledge based system for diagnosis of osteoarthritis. J. Artif Intel., 4:269-278.
-
(2011)
J. Artif Intel.
, vol.4
, pp. 269-278
-
-
Blessia, T.F.1
Singh, S.2
Kumar, A.3
Venmla, J.J.4
-
8
-
-
75949107726
-
A novel hybrid protection technique of privacy-preserving data mining and anti-data mining
-
Chen, T. S., J. Chen and Y. H. Kao, 2010. A novel hybrid protection technique of privacy-preserving data mining and anti-data mining. Inform. Technol. J., 9:500-505.
-
(2010)
Inform. Technol. J.
, vol.9
, pp. 500-505
-
-
Chen, T.S.1
Chen, J.2
Kao, Y.H.3
-
9
-
-
2342646229
-
Mining the breast cancer using artificial neural networks and multivariate adaptive regression splines
-
Chou, S. M., T. S. Lee, Y. E. Shao and I. F. Chen, 2004. Mining the breast cancer using artificial neural networks and multivariate adaptive regression splines. Expert Syst Applica., 27:133-142.
-
(2004)
Expert Syst Applica.
, vol.27
, pp. 133-142
-
-
Chou, S.M.1
Lee, T.S.2
Shao, Y.E.3
Chen, I.F.4
-
10
-
-
0036756222
-
Uniqueness of medical data mining
-
DOI 10.1016/S0933-3657(02)00049-0, PII S0933365702000490
-
Cios, KJ. and G. W. Moore, 2002. Uniqueness of medical data mining. Artif. Intell. Med., 26:1-24. (Pubitemid 35299395)
-
(2002)
Artificial Intelligence in Medicine
, vol.26
, Issue.1-2
, pp. 1-24
-
-
Cios, K.J.1
William Moore, G.2
-
11
-
-
85129530187
-
An Instance-based learner using an entropic distance measure
-
Cleary, J. G. and L. E. Trigg, 1995. An Instance-based learner using an entropic distance measure. Proc. Int. Conf. Mach. Learn., 5:108-114.
-
(1995)
Proc. Int. Conf. Mach. Learn.
, vol.5
, pp. 108-114
-
-
Cleary, J.G.1
Trigg, L.E.2
-
12
-
-
74349094030
-
Statistical modeling of breast cancer relapse time with different treatments
-
Cong, C. and C. P. Tsokos, 2010. Statistical modeling of breast cancer relapse time with different treatments. J. Applied Sci., 10:37-44.
-
(2010)
J. Applied Sci.
, vol.10
, pp. 37-44
-
-
Cong, C.1
Tsokos, C.P.2
-
13
-
-
19344364327
-
Predicting breast cancer survivability: A comparison of three data mining methods
-
DOI 10.1016/j.artmed.2004.07.002, PII S0933365704001010
-
Delen, D., G. Waller and A. Kadam, 2005. Predicting breast cancer survivability: A comparison of three data mining methods. Artificial Intell. Med., 34:113-127. (Pubitemid 40719029)
-
(2005)
Artificial Intelligence in Medicine
, vol.34
, Issue.2
, pp. 113-127
-
-
Delen, D.1
Walker, G.2
Kadam, A.3
-
14
-
-
0034885327
-
Feature mining and predictive model construction from severe trauma patient's data
-
DOI 10.1016/S1386-5056(01)00170-8, PII S1386505601001708
-
Demsar, J., B. Zupan, N. Aoki, M. J. Wall, T. H. Granchi and J. R. Beck, 2001. Feature mining and predictive model construction from severe trauma patients data. Int. J. Med. Inform., 63:41-50. (Pubitemid 32757072)
-
(2001)
International Journal of Medical Informatics
, vol.63
, Issue.1-2
, pp. 41-50
-
-
Demsar, J.1
Zupan, B.2
Aoki, N.3
Wall, M.J.4
Granchi, T.H.5
Robert Beck, J.6
-
15
-
-
0031269184
-
On the optimality of the simple bayesian classifier under zero-one loss
-
Domingos, P. and M. Pazzani, 1997. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29:103-130. (Pubitemid 127510035)
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
16
-
-
0030497746
-
Rule induction and instance-based learning applied in medical diagnosis
-
Dzeroski, S. and N. Lavrac, 1996. Rule induction and instance-based learning applied in medical diagnosis. Technol. Health Care, 4:203-221. (Pubitemid 27062371)
-
(1996)
Technology and Health Care
, vol.4
, Issue.2
, pp. 203-221
-
-
Dzeroski, S.1
Lavrac, N.2
-
17
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett, T., 2006. An introduction to ROC analysis. Pattern Recog. Lett., 27:861-874.
-
(2006)
Pattern Recog. Lett.
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
18
-
-
4644275524
-
Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis
-
DOI 10.1109/TBME.2004.828033
-
Goletsis, Y., C. Papaloukas, D. I. Fotiadis, A. Likas, and L. K. Michalis, 2004. Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. IEEE Trans. Biomed. Eng., 51:1717-1725. (Pubitemid 39274419)
-
(2004)
IEEE Transactions on Biomedical Engineering
, vol.51
, Issue.10
, pp. 1717-1725
-
-
Goletsis, Y.1
Papaloukas, C.2
Fotiadis, D.I.3
Likas, A.4
Michalis, L.K.5
-
19
-
-
76749092270
-
The WEKA data mining software: An update
-
Hall, M., E. Frank, G. Holmes, B. Pfahringer, P. Reutemann and I. H. Witten, 2009. The WEKA data mining software: An update. SIGKDD Explorations Newslett, 11:10-18.
-
(2009)
SIGKDD Explorations Newslett
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
20
-
-
48349110155
-
A hybrid data mining approach for knowledge extraction and classification in medical databases
-
Octuber 20-24, 2007, Rio de Janeiro
-
Hassan, S. Z. and B. Verma, 2007. A hybrid data mining approach for knowledge extraction and classification in medical databases. Proceeding of the IEEE Seventh International Conference on Intelligent Systems Design and Applications, Octuber 20-24, 2007, Rio de Janeiro, pp:503-508.
-
(2007)
Proceeding of the IEEE Seventh International Conference on Intelligent Systems Design and Applications
, pp. 503-508
-
-
Hassan, S.Z.1
Verma, B.2
-
21
-
-
67649327243
-
Rough sets data analysis in knowledge discovery: A case of Kuwaiti diabetic children patients
-
10.1155/2008/528461
-
Hassanien, A.-E., M. E. Abdelhafez and H. S. Own, 2008. Rough sets data analysis in knowledge discovery: A case of Kuwaiti diabetic children patients. Adv. fuzzy syst, Vol. 2008. 10.1155/2008/528461.
-
(2008)
Adv. Fuzzy Syst
, vol.2008
-
-
Hassanien, A.-E.1
Abdelhafez, M.E.2
Own, H.S.3
-
22
-
-
0036950949
-
Use of intelligent agents in the diagnosis of cardiac disorders
-
Hudson, D. L. and M. E. Cohen, 2002. Use of intelligent agents in the diagnosis of cardiac disorders. Disorders. Compu. Cardiol., 29:633-636.
-
(2002)
Disorders. Compu. Cardiol.
, vol.29
, pp. 633-636
-
-
Hudson, D.L.1
Cohen, M.E.2
-
23
-
-
19944378094
-
The Naive Bayes Mystery: A classification detective story
-
DOI 10.1016/j.patrec.2005.02.001, PII S0167865505000486
-
J amain, A. and DJ. Hand, 2005. The naive bayes mystery: A classification detective story. Pattern Recogni. Lett, 26:1752-1760. (Pubitemid 40752303)
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.11
, pp. 1752-1760
-
-
Jamain, A.1
Hand, D.J.2
-
24
-
-
29144472280
-
Modeling uncertainty in clinical diagnosis using fuzzy logic
-
DOI 10.1109/TSMCB.2005.855588
-
John, R. I. and P. R. Innocent, 2005. Modeling uncertainty in clinical diagnosis using fuzzy logic. IEEE Trans. Syst. Man Cybern., 35:1340-1350. (Pubitemid 41800434)
-
(2005)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.35
, Issue.6
, pp. 1340-1350
-
-
John, R.I.1
Innocent, P.R.2
-
27
-
-
0034922742
-
Machine learning for medical diagnosis: History, state of the art and perspective
-
DOI 10.1016/S0933-3657(01)00077-X, PII S093336570100077X
-
Kononenko, I., 2001. Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Med., 23:89-109. (Pubitemid 32677979)
-
(2001)
Artificial Intelligence in Medicine
, vol.23
, Issue.1
, pp. 89-109
-
-
Kononenko, I.1
-
28
-
-
0002485248
-
Application of machine learning to medical diagnosis
-
R. S., R. S. Michalski, I. Bratko and M. Kubat Eds.. J. Wiley, New York
-
Kononenko, I., I. Bratko and M. Kukar, 1998. Application of Machine Learning to Medical Diagnosis. In: Machine Learning and Data Mining: Methods and Applications, Michalski, R. S., R. S. Michalski, I. Bratko and M. Kubat (Eds.). J. Wiley, New York.
-
(1998)
Machine Learning and Data Mining: Methods and Applications, Michalski
-
-
Kononenko, I.1
Bratko, I.2
Kukar, M.3
-
29
-
-
0034282783
-
Combining non-parametric models with logistic regression: An application to motor vehicle injury data
-
Kuhnert, P. M., K.-A. Do and R. McClure, 2000. Combining non-parametric models with logistic regression: An application to motor vehicle injury data. Comput. Statist. Data Analys., 34:371-386.
-
(2000)
Comput. Statist. Data Analys.
, vol.34
, pp. 371-386
-
-
Kuhnert, P.M.1
Do, K.-A.2
McClure, R.3
-
30
-
-
0035041653
-
Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images
-
DOI 10.1023/A:1010676701382
-
Kuo, W. J., RF. Chang, D. R. Chen and C. C. Lee, 2001. Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images. Breast Cancer Res. Treat, 66:51-57. (Pubitemid 32397942)
-
(2001)
Breast Cancer Research and Treatment
, vol.66
, Issue.1
, pp. 51-57
-
-
Kuo, W.-J.1
Chang, R.-F.2
Chen, D.-R.3
Lee, C.C.4
-
31
-
-
0034930263
-
Decomposition in data mining: A medical case study
-
DOI 10.1117/12.421082
-
Kusiak, A., 2001. Decomposition in data mining: A medical case study. Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, March 27, 2001, Tools and Technology III, pp:267-278. (Pubitemid 32638552)
-
(2001)
Proceedings of SPIE - The International Society for Optical Engineering
, vol.4384
, pp. 267-278
-
-
Kusiak, A.1
-
32
-
-
0032976648
-
A framework for building cooperative software agents in medical applications
-
DOI 10.1016/S0933-3657(99)00008-1, PII S0933365799000081
-
Lanzola, G., L. Gatti, S. Falascom and M. Stefanelli, 1999. A framework for building cooperative software agents in medical applications. Artif. Intell. Med., 16:223-249. (Pubitemid 29272287)
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, Issue.3
, pp. 223-249
-
-
Lanzola, G.1
Gatti, L.2
Falasconi, S.3
Stefanelli, M.4
-
33
-
-
37848999973
-
Medical diagnosis of atherosclerosis from carotid artery Doppler signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS)
-
Latifoglu, F., K. Polat, S. Kara and S. Gunes, 2008. Medical diagnosis of atherosclerosis from carotid artery Doppler signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS). J. Biomed. Inform., 41:15-23.
-
(2008)
J. Biomed. Inform.
, vol.41
, pp. 15-23
-
-
Latifoglu, F.1
Polat, K.2
Kara, S.3
Gunes, S.4
-
34
-
-
0032986473
-
Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence
-
Laurikkala, J., M. Juhola, S. Lammi, and K. Vnkki, 1999. Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence. Method. Inform. Med., 38:125-131. (Pubitemid 29318647)
-
(1999)
Methods of Information in Medicine
, vol.38
, Issue.2
, pp. 125-131
-
-
Laurikkala, J.1
Juhola, M.2
Lammi, S.3
Viikki, K.4
-
35
-
-
0032895111
-
Selected techniques for data mining in medicine
-
DOI 10.1016/S0933-3657(98)00062-1, PII S0933365798000621
-
Lavrac, N., 1999. Selected techniques for data mining in medicine. Artificial Intell. Med., 16:3-23. (Pubitemid 29166882)
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, Issue.1
, pp. 3-23
-
-
Lavrac, N.1
-
36
-
-
32344438056
-
Mining risk patterns in medical data
-
KDD-2005 - Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Li, J., A. Wai-Chee Fu, H. He, J. Chen and H. Jin, 2005. Mining risk patterns in medical data. Proceedings of the 1 lth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug. 21-24, Chicago, Illinois, USA., pp:770-775. (Pubitemid 43218353)
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 770-775
-
-
Li, J.1
Fu, A.W.-C.2
He, H.3
Chen, J.4
Jin, H.5
McAullay, D.6
Williams, G.7
Sparks, R.8
Kelman, C.9
-
37
-
-
68249092359
-
An intelligent model for liver disease diagnosis
-
Lin, R.-H., 2009. An intelligent model for liver disease diagnosis. Artif. Intell. Med., 47:53-62.
-
(2009)
Artif. Intell. Med.
, vol.47
, pp. 53-62
-
-
Lin, R.-H.1
-
38
-
-
0036127092
-
A review of evidence of health benefit from artificial neural networks in medical intervention
-
PII S0893608001001113
-
Lisboa, P. J. G., 2002. A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Netw., 15:11-39. (Pubitemid 34234792)
-
(2002)
Neural Networks
, vol.15
, Issue.1
, pp. 11-39
-
-
Lisboa, P.J.G.1
-
39
-
-
84863216225
-
An intelligent, interactive, web-based platform for effective clinical education through VR and distance learning modules
-
Maria, P. R. F., 2002. An intelligent, interactive, web-based platform for effective clinical education through VR and distance learning modules. Inform. Technol. J., 1:126-131.
-
(2002)
Inform. Technol. J.
, vol.1
, pp. 126-131
-
-
Maria, P.R.F.1
-
40
-
-
3242741898
-
Polynomial-fuzzy decision tree structures for classifying medical data
-
Mugambi, E. M., A. Hunter, G. Oatley and L. Kennedy, 2004. Polynomial-fuzzy decision tree structures for classifying medical data. Knowledge-Based Syst, 17:81-87.
-
(2004)
Knowledge-Based Syst
, vol.17
, pp. 81-87
-
-
Mugambi, E.M.1
Hunter, A.2
Oatley, G.3
Kennedy, L.4
-
41
-
-
79955879550
-
Suitability of using SOAP protocol to secure electronic medical record database transmission
-
Nabi, M. S. A., M. L. M. Kiah, B. B. Zaidan, A. A. Zaidan and G. M. Alain, 2010. Suitability of using SOAP protocol to secure electronic medical record database transmission. Int. J. Pharmacol., 6:959-964.
-
(2010)
Int. J. Pharmacol.
, vol.6
, pp. 959-964
-
-
Nabi, M.S.A.1
Kiah, M.L.M.2
Zaidan, B.B.3
Zaidan, A.A.4
Alain, G.M.5
-
42
-
-
0035551937
-
Modeling medical prognosis: Survival analysis techniques
-
Ohno-Mochado, L., 2001. Modeling medical prognosis: survival analysis techniques. J. Biomed. Inform., 34:428-439.
-
(2001)
J. Biomed. Inform.
, vol.34
, pp. 428-439
-
-
Ohno-Mochado, L.1
-
43
-
-
33751094712
-
Hybrid intelligent systems: Selecting attributes for soft-computing analysis
-
DOI 10.1109/COMPSAC.2005.87, 1510039, Proceedings of the 29th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts, COMPSAC 2005
-
Pattaraintakorn, P., N. Cercone and K. Naruedomkul, 2005. Hybrid intelligent systems: Selecting attributes for soft-computing analysis. Proceeding of the 29th Annual International Computer Software and Applications Conference, July 26-28, 2005, Department of Math., Mahidol University, Thailand, pp:319-325. (Pubitemid 46744897)
-
(2005)
Proceedings - International Computer Software and Applications Conference
, vol.1
, pp. 319-325
-
-
Pattaraintakorn, P.1
Cereone, N.2
Naruedomkul, K.3
-
44
-
-
0035375376
-
Towards more optimal medical diagnosing with evolutionary algorithms
-
Podgorelec, V. and P. Kokol, 2001. Towards more optimal medical diagnosing with evolutionary algorithms. J. Med. Syst, 25:195-219. (Pubitemid 33745571)
-
(2001)
Journal of Medical Systems
, vol.25
, Issue.3
, pp. 195-219
-
-
Podgorelec, V.1
-
45
-
-
27544447521
-
Improving mining of medical data by outliers prediction
-
Proceedings - 18th IEEE Symposium on Computer-Based Medical Systems
-
Podgorelec, V., M. Hericko and I. Rozman, 2005. Improving mining of medical data by outliers prediction. Proceedings of 18th IEEE Symposium on Computer-Based Medical Systems, June 23-24, 2005, Dublin, Ireland, pp:91-96. (Pubitemid 41542877)
-
(2005)
Proceedings - IEEE Symposium on Computer-Based Medical Systems
, pp. 91-96
-
-
Podgorelec, V.1
Hericko, M.2
Rozman, I.3
-
46
-
-
26844460223
-
A new classification method for breast cancer diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS)
-
Advances in Natural Computation: First International Conference, ICNC 2005. Proceedings
-
Polat, K., S. Sahan, H. Kodaz and S. Gunes, 2005. A new classification method for breast cancer diagnosis: Feature selection artificial immune recognition system (FS-AIRS). Lect Notes Comput. Sci., 3611:830-838. (Pubitemid 41449834)
-
(2005)
Lecture Notes in Computer Science
, vol.3611
, Issue.PART II
, pp. 830-838
-
-
Polat, K.1
Sahan, S.2
Kodaz, H.3
Gunes, S.4
-
47
-
-
3843106208
-
An empirical study of the naive bayes classifier
-
Watson Research Center, Hawthorne
-
Rish, I., 2001. An empirical study of the naive bayes classifier. Proceedings of the IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence, (WEMAT 01), Watson Research Center, Hawthorne, pp:41-46.
-
(2001)
Proceedings of the IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence, (WEMAT 01)
, pp. 41-46
-
-
Rish, I.1
-
48
-
-
33846014233
-
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis
-
DOI 10.1016/j.compbiomed.2006.05.003, PII S001048250600076X
-
Sahan, S., K. Polat, H. Kodaz and S. Gunes, 2007. A new hybrid method based on fuzzy-artificial immune system and k-NN algorithm for breast cancer diagnosis. Comput. Biol. Med., 37:415-423. (Pubitemid 46048795)
-
(2007)
Computers in Biology and Medicine
, vol.37
, Issue.3
, pp. 415-423
-
-
Sahan, S.1
Polat, K.2
Kodaz, H.3
Gunes, S.4
-
49
-
-
33750065720
-
Data mining in biomedicine and science
-
DOI 10.1007/978-3-540-34351-6-21, Introduction to Data Mining and its Applications
-
Sumathi, S. and S. N. Sivanandam, 2006. Data mining in biomedicine and science. Stud. Comput. Intell., 29:499-543. (Pubitemid 44574868)
-
(2007)
Studies in Computational Intelligence
, vol.29
, pp. 499-543
-
-
Sumathi, S.1
Sivanandam, S.N.2
-
50
-
-
60349107274
-
A comparative study on diabetes disease diagnosis using neural networks
-
Temurtas, H., N. Yumusak and F. Temurtas, 2009. A comparative study on diabetes disease diagnosis using neural networks. Expert Syst. Appl., 36:8610-8615.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 8610-8615
-
-
Temurtas, H.1
Yumusak, N.2
Temurtas, F.3
-
51
-
-
65449146949
-
Breast cancer survivability via AdaBoost algorithms
-
Thongkam, J., G. Xu, Y. Zhang and F. Huang, 2008. Breast cancer survivability via AdaBoost algorithms. Proc. 2nd Aust. Workshop on Health Data Knowledge Manage., 80:55-64.
-
(2008)
Proc. 2nd Aust. Workshop on Health Data Knowledge Manage.
, vol.80
, pp. 55-64
-
-
Thongkam, J.1
Xu, G.2
Zhang, Y.3
Huang, F.4
-
52
-
-
69249220244
-
Toward breast cancer survivability prediction models through improving training space
-
Thongkam, J., G. Xu, Y. Zhang, and F. Huang, 2009. Toward breast cancer survivability prediction models through improving training space. Expert Syst. Appl., 36:12200-12209.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 12200-12209
-
-
Thongkam, J.1
Xu, G.2
Zhang, Y.3
Huang, F.4
-
53
-
-
22844455112
-
Knowledge discovery in medical multidatabases: A rough set approach
-
Tsumoto, S., 1999. Knowledge discovery in medical multidatabases: A rough set approach. Principles Data Min. Knowl. Dis., 1704:147-155.
-
(1999)
Principles Data Min. Knowl. Dis.
, vol.1704
, pp. 147-155
-
-
Tsumoto, S.1
-
54
-
-
78651365104
-
A survey of partition based clustering algorithms in data mining: An experimental approach
-
Velmurugan, T. and T. Santhanam, 2011. A survey of partition based clustering algorithms in data mining: An experimental approach. Inform. Technol. J., 10:478-484.
-
(2011)
Inform. Technol. J.
, vol.10
, pp. 478-484
-
-
Velmurugan, T.1
Santhanam, T.2
-
56
-
-
33745321586
-
Neural networks for breast cancer diagnosis
-
July 06-09, 1999, Washington, DC, USA
-
Yao, X. and Y. Liu, 1999. Neural networks for breast cancer diagnosis. Proceedings of the 1999 Congress on Evolutionary Computation, July 06-09, 1999, Washington, DC, USA.
-
(1999)
Proceedings of the 1999 Congress on Evolutionary Computation
-
-
Yao, X.1
Liu, Y.2
-
57
-
-
0031420348
-
Induction of decision trees and Bayesian classification applied to diagnosis of sport injuries
-
DOI 10.1023/A:1022880431298
-
Zelic, I., I. Kononenko, N. Lavrac and V. Vuga, 1997. Induction of decision trees and bayesian classification applied to diagnosis of sport injuries. J. Med. Syst, 21:429-444. (Pubitemid 28201166)
-
(1997)
Journal of Medical Systems
, vol.21
, Issue.6
, pp. 429-444
-
-
Zelic, I.1
Kononenko, I.2
Lavrac, N.3
Vuga, V.4
|