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EHDViz: clinical dashboard development using open-source technologies

EHDViz: clinical dashboard development using open-source technologies

http://www.wikidata.org/entity/Q28601874

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Clinical Data Visualization: The Current State and Future Needs.Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar.Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.Accelerators: Sparking Innovation and Transdisciplinary Team Science in Disparities Research The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.

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EHDViz: clinical dashboard development using open-source technologies

http://www.wikidata.org/entity/Q28601874

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2016 nî lūn-bûn

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2016 թուականի Մարտին հրատարակուած գիտական յօդուած

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2016 թվականի մարտին հրատարակված գիտական հոդված

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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EHDViz: clinical dashboard development using open-source technologies

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EHDViz: clinical dashboard development using open-source technologies

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Andrew Kasarskis

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David L Reich

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Joel T Dudley

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Khader Shameer

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Matthew A Levin

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Max S Tomlinson

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P2860

Mining electronic health records: towards better research applications and clinical care

Creating a conversation: insights from the development of a decision aid

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data.

Design of a randomized controlled trial of disclosing genomic risk of coronary heart disease: the Myocardial Infarction Genes (MI-GENES) study.

Harvest: an open platform for developing web-based biomedical data discovery and reporting applications.

Heart beats in the cloud: distributed analysis of electrophysiological 'Big Data' using cloud computing for epilepsy clinical research.

Learning from big health care data.

Visualizing unstructured patient data for assessing diagnostic and therapeutic history.

What you need to know to make the most of big data in biology.

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10.1136/BMJOPEN-2015-010579

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Benjamin S Glicksberg

Marcus A Badgeley

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2016-03-24T00:00:00Z

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299413053

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27013597

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open-source software

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