Data Integration in the Life Sciences

11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings

Häftad, Engelska, 2015

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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. They are organized in topical sections named: data integration technologies; ontology and knowledge engineering for data integration; biomedical data standards and coding;

Produktinformation

Utgivningsdatum2015-07-21
Mått155 x 235 x 19 mm
Vikt460 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor281
FörlagSpringer International Publishing AG
ISBN9783319218427

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och it
Programmeringsböcker inom Data och it
Databaser inom Data och it
Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it

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 Datafor 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 Knowledgefrom 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.