A translational engine at the national scale: informatics for integrating biology and the bedside.
about
Translational biomedical informatics in the cloud: present and futureSHRINE: enabling nationally scalable multi-site disease studiesThe coming age of data-driven medicine: translational bioinformatics' next frontierCharacteristics desired in clinical data warehouse for biomedical researchTrends in biomedical informatics: automated topic analysis of JAMIA articlesAn eMERGE Clinical Center at Partners Personalized MedicineStandard-based EHR-enabled applications for clinical research and patient safety: CDISC - IHE QRPH - EHR4CR & SALUS collaborationpSCANNER: patient-centered Scalable National Network for Effectiveness ResearchDesigning a public square for research computingAn i2b2-based, generalizable, open source, self-scaling chronic disease registryModeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools EngineDesign-phase prediction of potential cancer clinical trial accrual success using a research data martDesiderata for healthcare integrated data repositories based on architectural comparison of three public repositoriesA database of human exposomes and phenomes from the US National Health and Nutrition Examination SurveyIntegrated image data and medical record management for rare disease registries. A general framework and its instantiation to theGerman Calciphylaxis RegistryModular 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.How next-generation sequencing and multiscale data analysis will transform infectious disease management.OncDRS: An integrative clinical and genomic data platform for enabling translational research and precision medicineThe National Institutes of Health's Biomedical Translational Research Information System (BTRIS): design, contents, functionality and experience to date.Interdisciplinary approach towards a systems medicine toolbox using the example of inflammatory diseases.Federated Aggregate Cohort Estimator (FACE): an easy to deploy, vendor neutral, multi-institutional cohort query architecture.Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture.How the electronic health record will change the future of health care.Ancillary study management systems: a review of needs.Managing large-scale genomic datasets and translation into clinical practice.Improved de-identification of physician notes through integrative modeling of both public and private medical text.High throughput tools to access images from clinical archives for research.Implementing a Clinical Research Management System: One Institution's Successful Approach Following Previous Failures.Validation of electronic health record phenotyping of bipolar disorder cases and controls.BigQ: a NoSQL based framework to handle genomic variants in i2b2.A Digital Architecture for a Network-Based Learning Health System: Integrating Chronic Care Management, Quality Improvement, and Research.Bioinformatics Methods and Tools to Advance Clinical Care. Findings from the Yearbook 2015 Section on Bioinformatics and Translational InformaticsHealth Informatics via Machine Learning for the Clinical Management of PatientsCross border semantic interoperability for clinical research: the EHR4CR semantic resources and servicesDesiderata for computable representations of electronic health records-driven phenotype algorithms.Combining clinical and genomics queries using i2b2 - Three methodsSemi-supervised Learning for Phenotyping Tasks.The Biobank Portal for Partners Personalized Medicine: A Query Tool for Working with Consented Biobank Samples, Genotypes, and Phenotypes Using i2b2.External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma.
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P2860
A translational engine at the national scale: informatics for integrating biology and the bedside.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
A translational engine at the ...... ating biology and the bedside.
@ast
A translational engine at the ...... ating biology and the bedside.
@en
type
label
A translational engine at the ...... ating biology and the bedside.
@ast
A translational engine at the ...... ating biology and the bedside.
@en
prefLabel
A translational engine at the ...... ating biology and the bedside.
@ast
A translational engine at the ...... ating biology and the bedside.
@en
P2860
P1476
A translational engine at the ...... ating biology and the bedside.
@en
P2093
Shawn N Murphy
Susanne E Churchill
P2860
P304
P356
10.1136/AMIAJNL-2011-000492
P50
P577
2011-11-10T00:00:00Z