Machine learning framework for classification in medicine and biology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5547 LNCS, Issue , 2009, Pages 1-7

  Lee, Eva K ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; AUTOMATIC IMAGE ANALYSIS; BIOLOGICAL DATA; CANCER CELLS; CLINICAL BIOMARKERS; CLINICAL DATA; DEPENDENT TYPES; FEATURE SELECTION; GENE SILENCING; GENOMIC PATTERNS; HIGH DIMENSIONAL DATA; INTER-GROUP; MACHINE-LEARNING; METABOLITE CONCENTRATIONS; MISCLASSIFICATIONS; MULTI-STAGE; NEURODEGENERATIVE DISEASE; PATTERN EXTRACTION; PREDICTIVE MODELS; QUANTITATIVE ANALYSIS; SELECTION ALGORITHM; SYSTEMS MODELING; TREATMENT OUTCOMES;

BIOLOGY; COMBINATORIAL OPTIMIZATION; COMPUTER PROGRAMMING; CONSTRAINED OPTIMIZATION; CONSTRAINT THEORY; GENETIC ENGINEERING; IMAGE ANALYSIS; PATTERN RECOGNITION; ROBOT LEARNING;

HEALTH RISKS;

EID: 69849105361     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01929-6_1     Document Type: Conference Paper

References (16)

1. Brooks, J.P., Lee, E.K.: Solving a Mixed-Integer Programming Formulation of a Multi-Category Constrained Discrimination Model. In: INFORMS Proceedings of Artificial Intelligence and Data Mining, pp. 1-6 (2006)
2. Brooks, J.P., Lee, E.K.: Analysis of the Consistency of a Mixed Integer Programming-based Multi-Category Constrained Discriminant Model. Annals of Operations Research on Data Mining (Early version appeared online) (in press, 2008)
3. Feltus, F.A., Lee, E.K., Costello, J.F., Plass, C., Vertino, P.M.: Predicting Aberrant CpG Island Methylation. Proceedings of the National Academy of Sciences 100(21), 12253-122558 (2003)
4. Feltus, F.A., Lee, E.K., Costello, J.F., Plass, C., Vertino, P.M.: DNA Signatures Associated with CpG island Methylation States. Genomics 87, 572-579 (2006)
5. Gallagher, R.J., Lee, E.K., Patterson, D.: An Optimization Model for Constrained Discriminant Analysis and Numerical Experiments with Iris, Thyroid, and Heart Disease Datasets. In: Cimino, J.J. (ed.) Proceedings of the 1996 American Medical Informatics Association, pp. 209-213 (1996)
6. Gallagher, R.J., Lee, E.K., Patterson, D.A.: Constrained discriminant analysis via 0/1 mixed integer programming. Annals of Operations Research 74, 65-88 (1997) (Special Issue on Non-Traditional Approaches to Statistical Classification and Regression)
7. Lee, E.K., Gallagher, R.J., Patterson, D.: A Linear Programming Approach to Discriminant Analysis with a Reserved Judgment Region. INFORMS Journal on Computing 15(1), 23-41 (2003)
8. Lee, E.K.: Large-scale optimization-based classification models in medicine and biology. Annals of Biomedical Engineering, Systems Biology and Bioinformatics 35(6), 1095-1109 (2007)
9. Lee, E.K., Easton, T., Gupta, K.: Novel evolutionary models and applications to sequence alignment problems. Annals of Operations Research - Computing and Optimization in Medicine and Life Sciences 148, 167-187 (2006)
10. Lee, E.K., Fung, A.Y.C., Brooks, J.P., Zaider, M.: Automated Tumor Volume Contouring in Soft-Tissue Sarcoma Adjuvant Brachytherapy Treatment. International Journal of Radiation Oncology, Biology and Physics 47(11), 1891-1910 (2002)
11. Lee, E.K., Gallagher, R., Campbell, A., Prausnitz, M.: Prediction of ultrasound-mediated disruption of cell membranes using machine learning techniques and statistical analysis of acoustic spectra. IEEE Transactions on Biomedical Engineering 51(1), 1-9 (2004)
12. Lee, E.K., Galis, Z.S.: Fingerprinting Native and Angiogenic Microvascular Networks through Pattern Recognition and Discriminant Analysis of Functional Perfusion Data (submitted, 2008)
13. Lee, E.K., Ashfaq, S., Jones, D.P., Rhodes, S.D., Weintrau, W.S., Hopper, C.H., Vaccarino, V., Harrison, D.G., Quyyumi, A.A.: Prediction of early atherosclerosis in healthy adults via novel markers of oxidative stress and d-ROMs. Working paper (2009)
14. Lee, E.K., Wu, T.L.: Classification and disease prediction via mathematical programming. In: Seref, O., Kundakcioglu, O.E., Pardalos, P. (eds.) Data Mining, Systems Analysis, and Optimization in Biomedicine, AIP Conference Proceedings, vol.953, pp. 1-42 (2007)
15. McCabe, M., Lee, E.K., Vertino, P.M.: A Multi-Factorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation. Cancer Research 69(1), 282-291 (2009)
16. Querec, T.D., Akondy, R., Lee, E.K., et al.: Systems biology approaches predict immunogenicity of the yellow fever vaccine in humans. Nature Immunology 10, 116-125 (2008)