about
Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsyMission and Sustainability of Informatics for Integrating Biology and the Bedside (i2b2)A semantic proteomics dashboard (SemPoD) for data management in translational researchReview and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informaticsScaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research ResourceAn adaptable architecture for patient cohort identification from diverse data sources.Merging Ontology Navigation with Query Construction for Web-based Medicare Data Exploration.Heart beats in the cloud: distributed analysis of electrophysiological 'Big Data' using cloud computing for epilepsy clinical research.Modular design, application architecture, and usage of a self-service model for enterprise data delivery: the Duke Enterprise Data Unified Content Explorer (DEDUCE)Using common table expressions to build a scalable Boolean query generator for clinical data warehouses.What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support.MEDCIS: Multi-Modality Epilepsy Data Capture and Integration SystemA data-driven concept schema for defining clinical research data needs.MiDas: automatic extraction of a common domain of discourse in sleep medicine for multi-center data integration.Trial prospector: matching patients with cancer research studies using an automated and scalable approach.Complex epilepsy phenotype extraction from narrative clinical discharge summaries.Design and Implementation of a Comprehensive Web-based Survey for Ovarian Cancer Survivorship with an Analysis of Prediagnosis Symptoms via Text Mining.OnWARD: ontology-driven web-based framework for multi-center clinical studies.Electrophysiological signal analysis and visualization using Cloudwave for epilepsy clinical researchFrom classification to epilepsy ontology and informaticsNHash: Randomized N-Gram Hashing for Distributed Generation of Validatable Unique Study Identifiers in Multicenter Research.An analysis of multi-type relational interactions in FMA using graph motifs with disjointness constraints.Characterization of the biomedical query mediation process.Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care.A multi-site cognitive task analysis for biomedical query mediation.Facilitating Cohort Discovery by Enhancing Ontology Exploration, Query Management and Query Sharing for Large Clinical Data Repositories.MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and Its Application to SNOMED CT
P2860
Q27009062-F941D9E6-E7CA-42E6-B95C-338558804D63Q28651743-81BADD71-0763-4EA4-B5EA-62D6DDC01F83Q28710296-EE6F69F3-F3F4-4E2C-A260-35A6C67AA876Q30355563-70B2ADE2-5F7E-49AF-A213-FAA84052C8AEQ30385610-99CCAC45-A80E-4300-B6AA-F1CB4BA371DFQ30386777-EB32A9BE-A617-493F-B6D1-64997D332C5AQ30669865-F9CD64E4-FD2E-4148-9965-3C5867C725C6Q30707635-3D8CDB87-18C8-467D-8648-73D1791C1DC8Q30712554-6EF3E234-A4F5-437A-A19F-A8F968BAD924Q30837941-96140E7E-91A6-4AE6-9B9F-5C45D84C2123Q30847790-F3865AB8-3102-4E4B-B5EE-97541824CD4FQ30946878-08DA3309-8BD2-4CD5-8154-56B34822063BQ30946993-2138A565-7849-4028-A346-6AF57E24CE3BQ31096535-01EA9FB7-9C17-47FE-BCE0-CF68BD6B4F79Q34111055-4B899ACF-4989-4FC7-ABAA-C8C716B16B75Q34655304-20A8E51E-6967-4AD9-BB85-61E8C0572A82Q35196819-0B875B0A-6674-4DCF-95F9-28269328E53BQ35216998-0B0D1B6D-D697-42A8-8C5A-A428635183F2Q35653102-1C38DBD5-8376-4BCF-9B64-17FB18D33869Q35671493-9ED87B1A-6039-4B89-AD68-F8C223944483Q36100999-E7E88639-7354-42A8-A1AD-B6B319FA45F7Q36440827-DC241A85-5550-4322-9214-4ADC9A79F444Q36519391-962116B2-3EEB-4373-8BC2-F29443872487Q37354375-CC62EE81-772B-4AA4-AACD-521C20E0271FQ37551161-85764B47-17CB-465D-AF98-32949E25EA59Q39583320-1B93CB2D-0B77-42E4-BFBA-11AEB2CBABEBQ55007071-505EEE83-7C7C-4E23-863A-58DC600675FEQ56890880-0C9FC313-EB9E-42CD-B363-F06066BD1A2D
P2860
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
VISAGE: A Query Interface for Clinical Research
@en
type
label
VISAGE: A Query Interface for Clinical Research
@en
prefLabel
VISAGE: A Query Interface for Clinical Research
@en
P2093
P1433
P1476
VISAGE: A Query Interface for Clinical Research
@en
P2093
Dale Hunscher
Guo-Qiang Zhang
Nathan Johnson
Neil Sandberg
Paul Saxman
Remo Mueller
Sivaram Arabandi
Trish Siegler
P2860
P577
2010-03-01T00:00:00Z