Data Mining for Biomarker Discovery

Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data m...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Pardalos, Panos M. (Editor ), Xanthopoulos, Petros (Editor ), Zervakis, Michalis (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Springer Optimization and Its Applications, 65
Temas:
Operations research.
Management science.
Data mining.
Medical informatics.
Biotechnology.
Operations Research, Management Science .
Data Mining and Knowledge Discovery.
Health Informatics.
Chemical Bioengineering.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4614-2107-8
003 DE-He213
005 20220115073352.0
007 cr nn 008mamaa
008 120211s2012 xxu| s |||| 0|eng d
020 |a 9781461421078  |9 978-1-4614-2107-8 
024 7 |a 10.1007/978-1-4614-2107-8  |2 doi 
050 4 |a T57.6-57.97 
050 4 |a T55.4-60.8 
072 7 |a KJT  |2 bicssc 
072 7 |a BUS049000  |2 bisacsh 
072 7 |a KJT  |2 thema 
082 0 4 |a 003  |2 23 
245 1 0 |a Data Mining for Biomarker Discovery  |h [electronic resource] /  |c edited by Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis. 
250 |a 1st ed. 2012. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2012. 
300 |a XIV, 246 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Optimization and Its Applications,  |x 1931-6836 ;  |v 65 
505 0 |a Preface -- 1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang) -- Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis) -- 3. EEG Features as Biomarkers for Discrimination of Pre-ictal states (A. Tsimpiris, D. Kugiumtzis) -- 4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non-epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D.-S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos) -- 5. Classification of Tree and Network Topology Structures in Medical Images (A. Skoura, V. Megalooikonomou, A. Diamantopolous, G.C. Kagadis, D. Karnabatidis) -- 6. A Framework for Multi-Modal Imagin Biomarker Extraction with Application to Brain MRI (K. Maria, V. Sakkalis, N. Graf) -- 7. A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data (E. Tsolaki, E. Kousi, E. Kapsalaki, I. Dimou, K. Theodorou, G. C. Manikis, C. Kappas, I. Tsougos) -- 8. Data Mining for Cancer Biomarkers with Raman Spectroscopy (M.B.Fenn, V. Pappu) -- 9. Nonlinear Recognition Methods for Oncological Pathologies (G. Patrizi, V. Pietropaolo, A. Carbone, R. De Leone, L. Di Giacomo, V. Losaco, G. Patrizi) -- 10. Studying Connectivity Properties in Human Protein Interation Network in Cancer Pathway (V. Tomaino, A. Arulselvan, P. Veltri, P.M. Pardalos) -- 11. Modeling of Oral Cancer Progression Using Dynamic Bayesian Networks (K.P. Exarchos, G. Rigas, Y. Golestsis, D.I. Fotiadis) -- 12. Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS Radiological and Histopathological Findings (P. Drakatos, D. Lykouras, F. Sampsonas, K. Karkoulias, K. Spiropoulos) -- 13. Data Mining System Applied to Population Databases for Studies on Lung Cancer (J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano). 
520 |a Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is a collection of  state-of-the-art research from select participants of the "International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery," held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Data mining. 
650 0 |a Medical informatics. 
650 0 |a Biotechnology. 
650 1 4 |a Operations Research, Management Science . 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Health Informatics. 
650 2 4 |a Chemical Bioengineering. 
700 1 |a Pardalos, Panos M.  |e editor.  |0 (orcid)0000-0003-2824-101X  |1 https://orcid.org/0000-0003-2824-101X  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Xanthopoulos, Petros.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Zervakis, Michalis.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461421061 
776 0 8 |i Printed edition:  |z 9781489996435 
776 0 8 |i Printed edition:  |z 9781461421085 
830 0 |a Springer Optimization and Its Applications,  |x 1931-6836 ;  |v 65 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4614-2107-8  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713) 

Ejemplares similares