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A review of approaches to identifying patient phenotype cohorts using electronic health records.

A review of approaches to identifying patient phenotype cohorts using electronic health records.

http://www.wikidata.org/entity/Q37598951

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Trends in biomedical informatics: automated topic analysis of JAMIA articles Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis Clinical Research Informatics: Recent Advances and Future Directions A Modular Architecture for Electronic Health Record-Driven Phenotyping Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.Clinical research informatics and electronic health record data Using Anchors to Estimate Clinical State without Labeled Data Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research Real-time prediction of mortality, readmission, and length of stay using electronic health record data.Big data analytics to improve cardiovascular care: promise and challenges.Learning statistical models of phenotypes using noisy labeled training data.Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data.Neuroinflammation - using big data to inform clinical practice.Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.Automatic data source identification for clinical trial eligibility criteria resolution.Multi-modal Patient Cohort Identification from EEG Report and Signal Data Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.A population-based approach for implementing change from opt-out to opt-in research permissions.Employing computers for the recruitment into clinical trials: a comprehensive systematic review.The electronic health record for translational research.High throughput tools to access images from clinical archives for research.Development and validation of an electronic phenotyping algorithm for chronic kidney disease.TextHunter--A User Friendly Tool for Extracting Generic Concepts from Free Text in Clinical Research.Challenges in clinical natural language processing for automated disorder normalization Information Technology for Clinical, Translational and Comparative Effectiveness Research. Findings from the Yearbook 2015 Section on Clinical Research Informatics.A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS).Granular Quality Reporting for Cervical Cytology Testing.Patient question set proliferation: scope and informatics challenges of patient question set management in a large multispecialty practice with case examples pertaining to tobacco use, menopause, and Urology and Orthopedics specialties.Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis.Health Informatics via Machine Learning for the Clinical Management of Patients Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Desiderata for computable representations of electronic health records-driven phenotype algorithms.Reviewing 741 patients records in two hours with FASTVISU.Semi-supervised Learning for Phenotyping Tasks.DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELS Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis.Electronic medical record phenotyping using the anchor and learn framework.

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P2860

A review of approaches to identifying patient phenotype cohorts using electronic health records.

http://www.wikidata.org/entity/Q37598951

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Journal of the American Medical Informatics Association

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A review of approaches to iden ...... sing electronic health records

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Eric Fosler-Lussier

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Noemie Elhadad

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Peter J Embi

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Creative Commons Attribution-NonCommercial

P2860

Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project

A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record

Comparing predictive models of glioblastoma multiforme built using multi-institutional and local data sources

Mining the human phenome using semantic web technologies: a case study for Type 2 Diabetes

Using semantic web technologies for cohort identification from electronic health records for clinical research

Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.

Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine

Type 2 diabetes risk forecasting from EMR data using machine learning.

Determining compound comorbidities for heart failure from hospital discharge data.

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Stephen B Johnson

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