Data Integration in the Life Sciences 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Auer, Sören (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vidal, Maria-Esther (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Bioinformatics ; 11371
• Θέματα: Database management.; Application software.; Artificial intelligence.; Mathematical logic.; Bioinformatics.; Database Management.; Information Systems Applications (incl. Internet).; Artificial Intelligence.; Mathematical Logic and Formal Languages.; Computational Biology/Bioinformatics.

 This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications. 

 Big Biomedical Data Integration and Management -- Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities -- Combining semantic and lexical measures to evaluate medical terms similarity -- Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database -- A Knowledge-driven Pipeline from Transforming Big Data into Actionable Knowledge -- Leaving no stone unturned: Using machine learning based approaches for information extraction from full texts of a research data warehouse -- Data Exploration in the Life Sciences -- Towards research infrastructures that curate scientific information: A use case in life sciences -- Interactive Visualization for large-scale multi-factorial Research Designs -- FedSDM: Semantic Data Manager for Federations of RDF Datasets -- Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale -- DISBi: A flexible framework for integrating systems biology data -- Biomedical Data Analytics -- Using Machine Learning to Distinguish Infected from Non-Infected Subjects at an Early Stage Based on Viral Inoculation -- Automated Coding of Medical Diagnostics from Free-Text: the Role of Parameters Optimization and Imbalanced Classes -- A learning-based approach to combine medical annotation results -- Knowledge Graph Completion to Predict Polypharmacy Side Effects -- Big Biomedical Applications -- Lung Cancer Concept Annotation from Spanish Clinical Narratives -- Linked Data based Multi-Omics Integration and Visualization for Cancer Decision Networks -- The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 years of experience -- User-Driven Development of a Novel Molecular Tumor Board Support Tool -- Using Semantic Programming for developing a Web Content Management System for semantic Phenotype Data -- Converting Alzheimer's disease map into a heavyweight ontology: a formal network to integrate data.