The coming age of data-driven medicine: translational bioinformatics' next frontier
about
Sharing big biomedical dataUsing Multi-objective Optimization to Identify Dynamical Network Biomarkers as Early-warning Signals of Complex Diseases.Overcome support vector machine diagnosis overfittingPhenome-wide association studies on a quantitative trait: application to TPMT enzyme activity and thiopurine therapy in pharmacogenomicsTranslational bioinformatics in the era of real-time biomedical, health care and wellness data streamsGeneration of open biomedical datasets through ontology-driven transformation and integration processesDynamic consent: a patient interface for twenty-first century research networksKnowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.Clinical research informatics and electronic health record dataPredicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.Identifying aging-related genes in mouse hippocampus using gateway nodes.Detection of independent associations in a large epidemiologic dataset: a comparison of random forests, boosted regression trees, conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza inTranslational bioinformatics embraces big data.Diagnostic biases in translational bioinformaticsEthics and Epistemology in Big Data Research.Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification.Implications of non-stationarity on predictive modeling using EHRsThe Need for Formally Defining "Modern Medicine" by Means of Experimental Design.Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features.Digital detection for tobacco control: online reactions to the 2009 U.S. cigarette excise tax increaseSystems approaches in risk assessment.Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes.Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure.Disseminating informatics knowledge and training the next generation of leaders.Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis.
P2860
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P2860
The coming age of data-driven medicine: translational bioinformatics' next frontier
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
The coming age of data-driven medicine: translational bioinformatics' next frontier
@ast
The coming age of data-driven medicine: translational bioinformatics' next frontier
@en
The coming age of data-driven medicine: translational bioinformatics' next frontier
@nl
type
label
The coming age of data-driven medicine: translational bioinformatics' next frontier
@ast
The coming age of data-driven medicine: translational bioinformatics' next frontier
@en
The coming age of data-driven medicine: translational bioinformatics' next frontier
@nl
prefLabel
The coming age of data-driven medicine: translational bioinformatics' next frontier
@ast
The coming age of data-driven medicine: translational bioinformatics' next frontier
@en
The coming age of data-driven medicine: translational bioinformatics' next frontier
@nl
P2860
P3181
P1476
The coming age of data-driven medicine: translational bioinformatics' next frontier
@en
P2093
Jessica D Tenenbaum
Nigam H Shah
P2860
P3181
P356
10.1136/AMIAJNL-2012-000969
P407
P577
2012-06-01T00:00:00Z