Data Integration in the Life Sciences : 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings / edited by Naveen Ashish, Jose-Luis Ambite.

Format:

Book

Contributor:

Ashish, Naveen, editor.

Ambite, Jose-Luis, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 9162.

Lecture Notes in Bioinformatics ; 9162

Language:

English

Subjects (All):

Database management.

Data mining.

Application software.

Artificial intelligence.

Information storage and retrieval.

Medical informatics.

Database Management.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Information Storage and Retrieval.

Health Informatics.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Information Storage and Retrieval.

Health Informatics.

Physical Description:

1 online resource (XI, 281 pages) : 91 illustrations.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-319-21843-4

9783319218434

Access Restriction:

Restricted for use by site license.