Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings

Author:   Naveen Ashish ,  Jose-Luis Ambite
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2015
Volume:   9162
ISBN:  

9783319218427


Pages:   281
Publication Date:   21 July 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings


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Overview

This book constitutes the proceedings of the 11th International Conference on Data Integration in the Life Sciences, DILS 2015, held in Los Angeles, CA, USA, in July 2015. The 24 papers presented in this volume were carefully reviewed and selected from 40 submissions. They are organized in topical sections named: data integration technologies; ontology and knowledge engineering for data integration; biomedical data standards and coding; medical research applications; and graduate student consortium.

Full Product Details

Author:   Naveen Ashish ,  Jose-Luis Ambite
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2015
Volume:   9162
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   4.511kg
ISBN:  

9783319218427


ISBN 10:   3319218425
Pages:   281
Publication Date:   21 July 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data Integration Technologies.- Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury.- Vidal, Elena Zotkina, and Louiqa Raschid GEM: The GAAIN Entity Mapper.- Data Integration in the Human Brain Project.- SchizConnect: Virtual Data Integration in Neuroimaging.- Ontology and Knowledge Engineering for Data Integration Annotating Medical Forms Using UMLS.- OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms.- AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations.- Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories.- Creating Biomedical Ontologies Using mOntage.- Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain.- Biomedical Data Standards and Coding Integration of Hematopoietic Cell Transplantation Outcomes Data: Data Standards Are Not Enough.- ICD Code Retrieval: Novel Approach for Assisted Disease Classification.- Medical Research Applications.- Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury.- SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use.- Quality Control Considerations for the Effective Integration of Neuroimaging Data.- Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders.- Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining.- Inference and Verification of Probabilistic Graphical Models from High-Dimensional Data.- SPIRIT-ML: A Machine Learning Platform for Deriving Knowledge from Biomedical Datasets.- Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene.- Graduate Student Consortium.- GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis.- The GAAIN Entity Mapper: Towards Practical Medical Informatics Application.- Efficient Management of Cached Data in the Global Alzheimer’s Association Interactive Network.- Domain Specific Document Retrieval Framework for Real-Time Social Health Data.

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