Characterizing treatment pathways at scale using the OHDSI network - Wikidata - awgldk - TriplyDB

Characterizing treatment pathways at scale using the OHDSI network

Characterizing treatment pathways at scale using the OHDSI network

http://www.wikidata.org/entity/Q27320806

about

Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century Emerging Use of Early Health Technology Assessment in Medical Product Development: A Scoping Review of the Literature Drawing causal inference from Big Data.Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues.EliIE: An open-source information extraction system for clinical trial eligibility criteria.Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics.Hysterectomy Pathway as the Global Engine of Practice Change: Implications for Value in Care.The influence of big (clinical) data and genomics on precision medicine and drug development.A dataset quantifying polypharmacy in the United States.A Random Categorization Model for Hierarchical Taxonomies.Building Interoperable FHIR-Based Vocabulary Mapping Services: A Case Study of OHDSI Vocabularies and Mappings.A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR.Patterns of use of long-acting bronchodilators in patients with COPD: A nationwide follow-up study of new users in New Zealand.Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.Relation Between Blood Pressure and Clinical Outcome in Hypertensive Subjects With Previous Stroke.Towards Implementation of OMOP in a German University Hospital Consortium.Big Data's Role in Precision Public Health.Analytical Methods for a Learning Health System: 1. Framing the Research Question.Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data Improving reproducibility by using high-throughput observational studies with empirical calibration Patchwork of contrasting medication cultures across the USA

P2860

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P2860

Characterizing treatment pathways at scale using the OHDSI network

http://www.wikidata.org/entity/Q27320806

description

2016 nî lūn-bûn

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2016 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2016 թվականի հունիսին 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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name

Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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type

label

Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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Characterizing treatment pathways at scale using the OHDSI network

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PNAS.1510502113

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Proceedings of the National Academy of Sciences of the United States of America

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Characterizing treatment pathways at scale using the OHDSI network

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P2093

Adler Perotte

http://www.w3.org/2001/XMLSchema#string

Christian G Reich

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Daniella Meeker

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Frank J DeFalco

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Jon D Duke

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Lisa M Schilling

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Martijn J Schuemie

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Michael E Matheny

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Nigam H Shah

http://www.w3.org/2001/XMLSchema#string

Patrick B Ryan

http://www.w3.org/2001/XMLSchema#string

P2860

Evaluating the impact of database heterogeneity on observational study results

Interpreting observational studies: why empirical calibration is needed to correct p-values

Grading quality of evidence and strength of recommendations

Forty years of SNOMED: a literature review

Randomized, controlled trials, observational studies, and the hierarchy of research designs

The environment and disease: association or causation? 1965.

Causal inference in statistics: An overview

Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership.

Effects of patient medication requests on physician prescribing behavior: results of a factorial experiment

Better access to information about clinical trials.

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27

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113

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Marc A. Suchard

George Hripcsak

Martijn J Schuemie

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2016-06-06T00:00:00Z

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27274072

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4941483

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