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Formal representation of eligibility criteria: a literature review

Formal representation of eligibility criteria: a literature review

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ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials Current methodologies for translational bioinformatics Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM)Textual inference for eligibility criteria resolution in clinical trials Standard-based EHR-enabled applications for clinical research and patient safety: CDISC - IHE QRPH - EHR4CR & SALUS collaboration Visual aggregate analysis of eligibility features of clinical trials Dynamic categorization of clinical research eligibility criteria by hierarchical clustering OWL model of clinical trial eligibility criteria compatible with partially-known information Designing Ontology-based Patterns for the Representation of the Time-Relevant Eligibility Criteria of Clinical Protocols Computational challenges and human factors influencing the design and use of clinical research participant eligibility pre-screening tools.Unsupervised mining of frequent tags for clinical eligibility text indexing.eTACTS: a method for dynamically filtering clinical trial search results.Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence.An adaptable architecture for patient cohort identification from diverse data sources.Design and multicentric implementation of a generic software architecture for patient recruitment systems re-using existing HIS tools and routine patient data ClinicalTrials.gov as a data source for semi-automated point-of-care trial eligibility screening The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials.Automatic data source identification for clinical trial eligibility criteria resolution.A practical method for transforming free-text eligibility criteria into computable criteria A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.Employing computers for the recruitment into clinical trials: a comprehensive systematic review.A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria Effectiveness of the physical activity promotion programme on the quality of life and the cardiopulmonary function for inactive people: randomized controlled trial.Semi-Automatically Inducing Semantic Classes of Clinical Research Eligibility Criteria Using UMLS and Hierarchical Clustering Trial prospector: matching patients with cancer research studies using an automated and scalable approach.Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.EliXR: an approach to eligibility criteria extraction and representation Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization.Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development Leveraging dialog systems research to assist biomedical researchers' interrogation of Big Clinical Data.Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Analysis of Requirements for the Medication Profile to Be Used in Clinical Research: Protocol Feasibility Studies and Patient Recruitment.Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned Optimizing Clinical Research Participant Selection with Informatics.

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Formal representation of eligibility criteria: a literature review

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J.JBI.2009.12.004

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A flexible approach to guideline modeling

Modeling data and knowledge in the EON guideline architecture.

Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: a literature review of guideline representation models.

Making the standard more standard: a data and query model for knowledge representation in the Arden syntax

caCORE: a common infrastructure for cancer informatics.

Use of SNOMED CT to represent clinical research data: a semantic characterization of data items on case report forms in vasculitis research.

The Common Data Elements for cancer research: remarks on functions and structure.

A combined data mining approach for infrequent events: analyzing HIV mutation changes based on treatment history.

Data standards in clinical research: gaps, overlaps, challenges and future directions

Using computer modeling to help identify patient subgroups in clinical data repositories

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