Data Mining in Biomedicine

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Pardalos, Panos M. (Editor ), Boginski, Vladimir L. (Editor ), Vazacopoulos, Alkis (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Springer Optimization and Its Applications, 7
Temas:
Medicine-Research.
Biology-Research.
Mathematics.
Operations research.
Management science.
Biomedical engineering.
Biometry.
Biomedical Research.
Applications of Mathematics.
Operations Research, Management Science .
Biomedical Engineering and Bioengineering.
Biostatistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Recent Methodological Developments for Data Mining Problems in Biomedicine
  • Pattern-Based Discriminants in the Logical Analysis of Data
  • Exploring Microarray Data with Correspondence Analysis
  • An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling
  • CpG Island Identification with Higher Order and Variable Order Markov Models
  • Data Mining Algorithms for Virtual Screening of Bioactive Compounds
  • Sparse Component Analysis: a New Tool for Data Mining
  • Data Mining Via Entropy and Graph Clustering
  • Molecular Biology and Pooling Design
  • An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier
  • Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach
  • Ontology Search and Text Mining of MEDLINE Database
  • Data Mining Techniques in Disease Diagnosis
  • Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias
  • Diagnosis of Alport Syndrome by Pattern Recognition Techniques
  • Clinical Analysis of the Diagnostic Classification of Geriatric Disorders
  • Data Mining Studies in Genomics and Proteomics
  • A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis
  • Mathematical Programming Formulations for Problems in Genomics and Proteomics
  • Inferring the Origin of the Genetic Code
  • Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics
  • Clustering Proteomics Data Using Bayesian Principal Component Analysis
  • Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining
  • Characterization and Prediction of Protein Structure
  • Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach
  • A Topological Characterization of Protein Structure
  • Applications of Data Mining Techniques to Brain Dynamics Studies
  • Data Mining in EEG: Application to Epileptic Brain Disorders
  • Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain
  • Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques
  • Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients
  • Seizure Predictability in an Experimental Model of Epilepsy
  • Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling.

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