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Computer Science; Database Management; Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); Information Storag… Mehr…

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2015, ISBN: 9783319218434

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 p… Mehr…

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2015, ISBN: 9783319218434

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

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Data Integration in the Life Sciences
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9783319218434

Detailangaben zum Buch - Data Integration in the Life Sciences


EAN (ISBN-13): 9783319218434
Erscheinungsjahr: 7
Herausgeber: Springer

Buch in der Datenbank seit 2016-03-07T18:01:11+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-02-29T16:49:12+01:00 (Zurich)
ISBN/EAN: 9783319218434

ISBN - alternative Schreibweisen:
978-3-319-21843-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ashish
Titel des Buches: los angeles, integration, life international

Daten vom Verlag:

Autor/in: Naveen Ashish; Jose-Luis Ambite
Titel: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics; Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings
Verlag: Springer; Springer International Publishing
281 Seiten
Erscheinungsjahr: 2015-07-07
Cham; CH
Sprache: Englisch
50,28 € (DE)
51,70 € (AT)
57,00 CHF (CH)
Available
XI, 281 p. 91 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Datenbanken; Verstehen; Big data; Biomedical ontologies; Data integration; Data management systems; Dynamic bayesian network; Genetics; Health informatics; Interoperability; Life and medical sciences; Machine learning; Magnetic resonance imaging; Medical records; Model checking; Neuroimaging; Personal health records; Query optimization; Relational database; Semantic Web; Sequential pattern mining; Visualization; C; Database Management; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Artificial Intelligence; Information Storage and Retrieval; Health Informatics; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; Angewandte Informatik; Künstliche Intelligenz; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Computeranwendungen in Industrie und Technologie; BC

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.
Includes supplementary material: sn.pub/extras
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