-
1
-
-
40049093057
-
Grand challenges in clinical decision support
-
DOI 10.1016/j.jbi.2007.09.003, PII S1532046407001049
-
Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS et al (2008) Grand challenges in clinical decision support. J Biomed Inform 41:387-392 (Pubitemid 351324197)
-
(2008)
Journal of Biomedical Informatics
, vol.41
, Issue.2
, pp. 387-392
-
-
Sittig, D.F.1
Wright, A.2
Osheroff, J.A.3
Middleton, B.4
Teich, J.M.5
Ash, J.S.6
Campbell, E.7
Bates, D.W.8
-
2
-
-
77956266600
-
Delivering clinical decision support services: There is nothing as practical as a good theory
-
Fox J, Glasspool D, Patkar V, Austin M, Black L, South M et al (2010) Delivering clinical decision support services: there is nothing as practical as a good theory. J Biomed Inform 43:831-843
-
(2010)
J Biomed Inform
, vol.43
, pp. 831-843
-
-
Fox, J.1
Glasspool, D.2
Patkar, V.3
Austin, M.4
Black, L.5
South, M.6
-
3
-
-
37249089420
-
Predictive data mining in clinical medicine: Current issues and guidelines
-
DOI 10.1016/j.ijmedinf.2006.11.006, PII S1386505606002747
-
Bellazzi R, Zupan B (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
-
8
-
-
72249089516
-
-
Doctor of Philosophy, Graduate Department of Computer Science, University of Toronto, Toronto, Canada
-
Marlin BM (2008) Missing data problems in machine learning. Doctor of Philosophy, Graduate Department of Computer Science, University of Toronto, Toronto, Canada
-
(2008)
Missing Data Problems in Machine Learning
-
-
Marlin, B.M.1
-
9
-
-
71549166314
-
An introduction to modern missing data analyses
-
Baraldi AN, Enders CK (2010) An introduction to modern missing data analyses. J Sch Psychol 48:5-37
-
(2010)
J Sch Psychol
, vol.48
, pp. 5-37
-
-
Baraldi, A.N.1
Enders, C.K.2
-
11
-
-
77957130052
-
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
-
Jerez JM, Molina I, Garci'a-Laencina JP, Alba E, Nuria R, Miguel Mn et al (2010) Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif Intell Med 50:105-115
-
(2010)
Artif Intell Med
, vol.50
, pp. 105-115
-
-
Jerez, J.M.1
Molina, I.2
Garci'a-Laencina, J.P.3
Alba, E.4
Nuria, R.5
Miguel, M.N.6
-
12
-
-
12744272198
-
Missing data in educational research: A review of reporting practices and suggestions for improvement
-
Peugh JL, Enders CK (2004) Missing data in educational research: a review of reporting practices and suggestions for improvement. Rev Educ Res 74:525-556
-
(2004)
Rev Educ Res
, vol.74
, pp. 525-556
-
-
Peugh, J.L.1
Enders, C.K.2
-
15
-
-
76349109291
-
Decision-rule solutions for data mining with missing values
-
Weiss SM, Indurkhya N (2000) Decision-rule solutions for data mining with missing values. In: IBERAMIA-SBIA, pp 1-10
-
(2000)
Iberamia-Sbia
, pp. 1-10
-
-
Weiss, S.M.1
Indurkhya, N.2
-
21
-
-
61849150502
-
K nearest neighbours with mutual information for simultaneous classification and missing data imputation
-
García-Laencina PJ, Sancho-Gómez J-L, Figueiras-Vidal AR, Verleysen M (2009) K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neuro Comput 72:1483-1493
-
(2009)
Neuro Comput
, vol.72
, pp. 1483-1493
-
-
García-Laencina, P.J.1
Sancho-Gómez, J.-L.2
Figueiras-Vidal, A.R.3
Verleysen, M.4
-
22
-
-
1942486882
-
Methods for imputation of missing values in air quality data sets
-
Junninen H, Niska H, Tuppurainen K, Ruuskanen J, Kolehmainen M (2004) Methods for imputation of missing values in air quality data sets. Atmos Environ 38:1352-2310
-
(2004)
Atmos Environ
, vol.38
, pp. 1352-2310
-
-
Junninen, H.1
Niska, H.2
Tuppurainen, K.3
Ruuskanen, J.4
Kolehmainen, M.5
-
23
-
-
70349591070
-
Fuzzy unordered rules induction algorithm
-
Hühn J, Hüllermeier E (2009) Fuzzy unordered rules induction algorithm. Data Min Knowl Disc 19:293-319
-
(2009)
Data Min Knowl Disc
, vol.19
, pp. 293-319
-
-
Hühn, J.1
Hüllermeier, E.2
-
25
-
-
68249144398
-
FURIA: An inverse solution based feature extraction algorithm using fuzzy set theory for brain-computer interfaces
-
Lotte F, Lecuyer A, Arnaldi B (2009) FURIA: An inverse solution based feature extraction algorithm using Fuzzy set theory for brain-computer interfaces. IEEE Trans Signal Process 57:3253-3263
-
(2009)
IEEE Trans Signal Process
, vol.57
, pp. 3253-3263
-
-
Lotte, F.1
Lecuyer, A.2
Arnaldi, B.3
-
27
-
-
84873046605
-
Data mining in healthcare and biomedicine: A survey of the literature
-
Aug
-
Yoo I, Alafaireet P, Marinov M, Pena-Hernandez K, Gopidi R, Chang JF et al (Aug 2012) Data mining in healthcare and biomedicine: a survey of the literature. J Med Syst 36:2431-48
-
(2012)
J Med Syst
, vol.36
, pp. 2431-2448
-
-
Yoo, I.1
Alafaireet, P.2
Marinov, M.3
Pena-Hernandez, K.4
Gopidi, R.5
Chang, J.F.6
-
29
-
-
0004195865
-
-
School of Computing Sciences, Broadway, N.S.W., Australia: New South Wales Institute of Technology
-
Quinlan JR (1985) Induction of decision trees. School of Computing Sciences, Broadway, N.S.W., Australia: New South Wales Institute of Technology
-
(1985)
Induction of Decision Trees
-
-
Quinlan, J.R.1
-
31
-
-
78649394789
-
WEKA-experiences with a java open-source project
-
Bouckaert RR, Frank E, Hall MA, Holmes G, PfahringerB, Reutemann P et al (2010) WEKA-Experiences with a Java open-source project. J Mach Learn Res 11:2533-2541
-
(2010)
J Mach Learn Res
, vol.11
, pp. 2533-2541
-
-
Bouckaert, R.R.1
Frank, E.2
Hall, M.A.3
Holmes, G.4
Pfahringer, B.5
Reutemann, P.6
-
33
-
-
84880741419
-
Generating and veriffying risk prediction models using data mining (A case study from cardiovascular medicine)
-
Presented at Barcelona Spain, 2008
-
Davis DN, Nguyen TTT (2008) Generating and veriffying risk prediction models using data mining (A case study from cardiovascular medicine). Presented at the European society forcardiovascular surgery, 57th Annual congress of ESCVS, Barcelona Spain, 2008
-
(2008)
The European Society Forcardiovascular Surgery, 57th Annual Congress of ESCVS
-
-
Davis, D.N.1
Nguyen, T.T.T.2
-
35
-
-
79957668627
-
Texture based scene categorization using artificial neural networks and support vector machines: A comparative study
-
2008
-
Devendran V, Hemalatha T, Amitabh W (2008) Texture based scene categorization using artificial neural networks and support vector machines: a comparative study. ICGSTGVIP, vol 8. 2008
-
(2008)
ICGSTGVIP
, vol.8
-
-
Devendran, V.1
Hemalatha, T.2
Amitabh, W.3
-
38
-
-
41749097006
-
Efficient multiclass ROC approximation by decomposition via confusion matrix perturbation analysis
-
DOI 10.1109/TPAMI.2007.70740
-
Landgrebe TCW, Duin RPW (2008) Efficient multiclass ROC approximation by decomposition via confusion matrix perturbation analysis. IEEE Trans Pattern Anal Mach Intell 30:810-822 (Pubitemid 351486750)
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.30
, Issue.5
, pp. 810-822
-
-
Landgrebe, T.C.W.1
Duin, R.P.W.2
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