Lucila Ohno-Machado

	2007
31		Pedro A. F. Galante, Jeff Trimarchi, Constance L. Cepko, Sandro J. de Souza, Lucila Ohno-Machado, Winston Patrick Kuo: Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data. Bioinformatics 23(7): 903-905 (2007)
30		Beatriz Stransky, Junior Barrera, Lucila Ohno-Machado, Sandro J. de Souza: Modeling Cancer: Integration of "omics" Information in Dynamic Systems. J. Bioinformatics and Computational Biology 5(4): 977-986 (2007)
29		Michael E. Matheny, Frederic S. Resnic, Nipun Arora, Lucila Ohno-Machado: Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality. Journal of Biomedical Informatics 40(6): 688-697 (2007)
	2006
28		Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-Machado: Approximation properties of haplotype tagging. BMC Bioinformatics 7: 8 (2006)
27		Griffin Weber, Lucila Ohno-Machado, Stuart M. Shieber: Representation in stochastic search for phylogenetic tree reconstruction. Journal of Biomedical Informatics 39(1): 43-50 (2006)
	2005
26		Steven Haker, William M. Wells III, Simon K. Warfield, Ion-Florin Talos, Jui G. Bhagwat, Daniel Goldberg-Zimring, Asim Mian, Lucila Ohno-Machado, Kelly H. Zou: Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation. MICCAI 2005: 506-514
25		Staal A. Vinterbo, Eun-Young Kim, Lucila Ohno-Machado: Small, fuzzy and interpretable gene expression based classifiers. Bioinformatics 21(9): 1964-1970 (2005)
24		Lucila Ohno-Machado: Clinical machine learning. Journal of Biomedical Informatics 38(5): 345-346 (2005)
23		Michael E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic: Discrimination and calibration of mortality risk prediction models in interventional cardiology. Journal of Biomedical Informatics 38(5): 367-375 (2005)
22		Kelly H. Zou, Frederic S. Resnic, Ion-Florin Talos, Daniel Goldberg-Zimring, Jui G. Bhagwat, Steven Haker, Ron Kikinis, Ferenc A. Jolesz, Lucila Ohno-Machado: A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method. Journal of Biomedical Informatics 38(5): 395-403 (2005)
21		Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado: The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics 38(5): 404-415 (2005)
	2004
20		Griffin Weber, Staal A. Vinterbo, Lucila Ohno-Machado: Multivariate selection of genetic markers in diagnostic classification. Artificial Intelligence in Medicine 31(2): 155-167 (2004)
19		Agnieszka Szot, Francine L. Jacobson, Samson Munn, Darius Jazayeri, Edward Nardell, David Harrison, Ralph Drosten, Lucila Ohno-Machado, Laura M. Smeaton, Hamish S. F. Fraser: Diagnostic accuracy of chest X-rays acquired using a digital camera for low-cost teleradiology. I. J. Medical Informatics 73(1): 65-73 (2004)
18		Lucila Ohno-Machado, Paulo Sérgio Panse Silveira, Staal A. Vinterbo: Protecting patient privacy by quantifiable control of disclosures in disseminated databases. I. J. Medical Informatics 73(7-8): 599-606 (2004)
17		Lucila Ohno-Machado: Research on machine learning issues in biomedical informatics modeling. Journal of Biomedical Informatics 37(4): 221-223 (2004)
16		Richard Butterworth, Dan A. Simovici, Gustavo S. Santos, Lucila Ohno-Machado: A greedy algorithm for supervised discretization. Journal of Biomedical Informatics 37(4): 285-292 (2004)
15		Winston Patrick Kuo, Eun-Young Kim, Jeff Trimarchi, Tor-Kristian Jenssen, Staal A. Vinterbo, Lucila Ohno-Machado: A primer on gene expression and microarrays for machine learning researchers. Journal of Biomedical Informatics 37(4): 293-303 (2004)
	2003
14		Lucila Ohno-Machado, Winston Patrick Kuo: Stochastic Algorithms for Gene Expression Analysis (Invited Talk). SAGA 2003: 39-49
13		Andreas Alexander Albrecht, Staal A. Vinterbo, Lucila Ohno-Machado: An Epicurean learning approach to gene-expression data classification. Artificial Intelligence in Medicine 28(1): 75-87 (2003)
	2002
12		Andreas Alexander Albrecht, Staal A. Vinterbo, C. K. Wong, Lucila Ohno-Machado: A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. ICANN 2002: 401-407
11		Winston Patrick Kuo, Tor-Kristian Jenssen, Atul J. Butte, Lucila Ohno-Machado, Isaac S. Kohane: Analysis of matched mRNA measurements from two different microarray technologies. Bioinformatics 18(3): 405-412 (2002)
10		Ju-Han Kim, Isaac S. Kohane, Lucila Ohno-Machado: Visualization and evaluation of clusters for exploratory analysis of gene expression data. Journal of Biomedical Informatics 35(1): 25-36 (2002)
9		Stephan Dreiseitl, Lucila Ohno-Machado: Logistic regression and artificial neural network classification models: a methodology review. Journal of Biomedical Informatics 35(5-6): 352-359 (2002)
8		Lucila Ohno-Machado, Staal A. Vinterbo, Griffin Weber: Classification of gene expression data using fuzzy logic. Journal of Intelligent and Fuzzy Systems 12(1): 19-24 (2002)
	2001
7		Ju-Han Kim, Lucila Ohno-Machado, Isaac S. Kohane: Unsupervised Learning from Complex Data: The Matrix Incision Tree Algorithm. Pacific Symposium on Biocomputing 2001: 30-41
6		Stephan Dreiseitl, Lucila Ohno-Machado, Harald Kittler, Staal A. Vinterbo, Holger Billhardt, Michael Binder: A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions. Journal of Biomedical Informatics 34(1): 28-36 (2001)
5		Lucila Ohno-Machado: Modeling Medical Prognosis: Survival Analysis Techniques. Journal of Biomedical Informatics 34(6): 428-439 (2001)
	2000
4		Staal A. Vinterbo, Lucila Ohno-Machado: A genetic algorithm approach to multi-disorder diagnosis. Artificial Intelligence in Medicine 18(2): 117-132 (2000)
	1999
3		Aleksander Øhrn, Lucila Ohno-Machado: Using Boolean reasoning to anonymize databases. Artificial Intelligence in Medicine 15(3): 235-254 (1999)
	1997
2		Lucila Ohno-Machado, Mark A. Musen: Modular Neural Networks for Medical Prognosis: Quantifying the Benefits of Combining Neural Networks for Survival Prediction. Connect. Sci. 9(1): 71-86 (1997)
	1995
1		Lucila Ohno-Machado, Mark A. Musen: Learning Rare Categories in Backpropagation. SBIA 1995: 201-209

Coauthor Index

1	Andreas Alexander Albrecht	[12] [13]
2	Nipun Arora	[29]
3	Junior Barrera	[30]
4	Jui G. Bhagwat	[21] [22] [26]
5	Holger Billhardt	[6]
6	Michael Binder	[6]
7	Atul J. Butte	[11]
8	Richard Butterworth	[16]
9	Constance L. Cepko	[31]
10	Stephan Dreiseitl	[6] [9] [28]
11	Ralph Drosten	[19]
12	Hamish S. F. Fraser	[19]
13	Pedro A. F. Galante	[31]
14	Daniel Goldberg-Zimring	[22] [26]
15	Steven Haker	[22] [26]
16	David Harrison	[19]
17	Francine L. Jacobson	[19]
18	Darius Jazayeri	[19]
19	Tor-Kristian Jenssen	[11] [15]
20	Ferenc A. Jolesz	[22]
21	Ron Kikinis	[22]
22	Eun-Young Kim	[15] [25]
23	Ju-Han Kim	[7] [10]
24	Harald Kittler	[6]
25	Isaac S. Kohane	[7] [10] [11]
26	Winston Patrick Kuo	[11] [14] [15] [31]
27	Thomas A. Lasko	[21]
28	Michael E. Matheny	[23] [29]
29	Asim Mian	[26]
30	Samson Munn	[19]
31	Mark A. Musen	[1] [2]
32	Edward Nardell	[19]
33	Aleksander Øhrn	[3]
34	Frederic S. Resnic	[22] [23] [29]
35	Gustavo S. Santos	[16]
36	Stuart M. Shieber	[27]
37	Paulo Sérgio Panse Silveira	[18]
38	Dan A. Simovici	[16]
39	Laura M. Smeaton	[19]
40	Sandro J. de Souza	[30] [31]
41	Beatriz Stransky	[30]
42	Agnieszka Szot	[19]
43	Ion-Florin Talos	[22] [26]
44	Jeff Trimarchi	[15] [31]
45	Staal A. Vinterbo	[4] [6] [8] [12] [13] [15] [18] [20] [25] [28]
46	Simon K. Warfield	[26]
47	Griffin Weber	[8] [20] [27]
48	William M. Wells III	[26]
49	Chak-Kuen Wong (C. K. Wong)	[12]
50	Kelly H. Zou	[21] [22] [26]

Colors in the list of coauthors