about
Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technologyIntegrating Heterogeneous Biomedical Data for Cancer Research: the CARPEM infrastructureReview and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.The Mid-South clinical Data Research Network.Characterizing Secondary Use of Clinical Data.Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data.Preprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.Tackling the "so what" problem in scientific research: a systems-based approach to resource and publication tracking.Use of the Electronic Medical Record to Assess Pancreas Size in Type 1 Diabetes.Reviewing 741 patients records in two hours with FASTVISU.Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICUPragmatic precision oncology: the secondary uses of clinical tumor molecular profilingCUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.Do GPs know their patients with cancer? Assessing the quality of cancer registration in Dutch primary care: a cross-sectional validation study.Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology.Electronic health record-based predictive models for acute kidney injury screening in pediatric inpatients.SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care.SMART on FHIR Genomics: facilitating standardized clinico-genomic apps.Randomised controlled pragmatic clinical trial evaluating the effectiveness of a discharge follow-up phone call on 30-day hospital readmissions: balancing pragmatic and explanatory design considerations.Design and outcomes of the Patient Centered Outcomes Research Institute coronary heart disease cohort study.Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization.Next generation phenotyping using narrative reports in a rare disease clinical data warehouse.Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories.Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers.Integrating Multimodal Radiation Therapy Data into i2b2
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Secondary use of clinical data: the Vanderbilt approach
@ast
Secondary use of clinical data: the Vanderbilt approach
@en
Secondary use of clinical data: the Vanderbilt approach
@nl
type
label
Secondary use of clinical data: the Vanderbilt approach
@ast
Secondary use of clinical data: the Vanderbilt approach
@en
Secondary use of clinical data: the Vanderbilt approach
@nl
prefLabel
Secondary use of clinical data: the Vanderbilt approach
@ast
Secondary use of clinical data: the Vanderbilt approach
@en
Secondary use of clinical data: the Vanderbilt approach
@nl
P2093
P2860
P3181
P1476
Secondary use of clinical data: the Vanderbilt approach
@en
P2093
Alexander Saip
Ioana Danciu
Jacqueline Kirby
James D Cowan
Jana Shirey-Rice
Melissa Basford
Paul A Harris
Susan Osgood
Xiaoming Wang
P2860
P3181
P356
10.1016/J.JBI.2014.02.003
P407
P577
2014-12-01T00:00:00Z