Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. - Wikidata - wikimedia - TriplyDB

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

http://www.wikidata.org/entity/Q30986406

about

A curated and standardized adverse drug event resource to accelerate drug safety research Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation Characterizing treatment pathways at scale using the OHDSI network Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics WebDISCO: a web service for distributed cox model learning without patient-level data sharing Preserving temporal relations in clinical data while maintaining privacy.A data-driven concept schema for defining clinical research data needs.Improving precision medicine using individual patient data from trials.Clinical Research Informatics for Big Data and Precision Medicine.Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.Impending Challenges for the Use of Big Data.Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets.A study of the transferability of influenza case detection systems between two large healthcare systems.An informatics research agenda to support precision medicine: seven key areas A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.Leveraging Terminology Services for Extract-Transform-Load Processes: A User-Centered Approach.Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.A Learning Health Care System Using Computer-Aided Diagnosis.CodeMapper: semiautomatic coding of case definitions. A contribution from the ADVANCE project.Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.Integrated precision medicine: the role of electronic health records in delivering personalized treatment.EHR-based phenotyping: Bulk learning and evaluation.Preface - Access to Knowledge Revisited.Accuracy of an automated knowledge base for identifying drug adverse reactions.A Roadmap for Optimizing Asthma Care Management via Computational Approaches.Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristics.An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria.Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.The hope, hype and reality of Big Data for pharmacovigilance.Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data.Towards Implementation of OMOP in a German University Hospital Consortium.Research directions in the clinical implementation of pharmacogenomics - An Overview of US programs and projects.Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis.Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.Characterizing drug-related adverse events by joint analysis of biomedical and genomic data: A case study of drug-induced pulmonary fibrosis.i2b2 implemented over SMART-on-FHIR.The Data Gap in the EHR for Clinical Research Eligibility Screening.A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks.

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Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

http://www.wikidata.org/entity/Q30986406

description

2015 nî lūn-bûn

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2015 թուականի Յունուարին հրատարակուած գիտական յօդուած

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2015 թվականի հունվարին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Observational Health Data Scie ...... for Observational Researchers.

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Studies in Health Technology and Informatics

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Observational Health Data Scie ...... for Observational Researchers

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Christian G Reich

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David Madigan

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George Hripcsak

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Ian Chi Kei Wong

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Johan van der Lei

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Jon D Duke

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Marc A Suchard

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Martijn J Schuemie

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Nicole Pratt

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Nigam H Shah

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Evaluating the impact of database heterogeneity on observational study results

A 'green button' for using aggregate patient data at the point of care.

Medication-wide association studies.

Validation of a common data model for active safety surveillance research.

Estimating prognosis with the aid of a conversational-mode computer program.

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574-578

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scholarly article

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216

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G Niklas Norén

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2015-01-01T00:00:00Z

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26262116

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4815923

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