Extracting information from the text of electronic medical records to improve case detection: a systematic review - Test2 - elhamkhani - TriplyDB

Extracting information from the text of electronic medical records to improve case detection: a systematic review

Extracting information from the text of electronic medical records to improve case detection: a systematic review

http://www.wikidata.org/entity/Q26766556

about

What evidence is there for a delay in diagnostic coding of RA in UK general practice records? An observational study of free text Phenome-wide heritability analysis of the UK Biobank The need to scale up HIV indicator condition-guided testing for early case-finding: a case-control study in primary care.Leveraging the electronic health record to improve quality and safety in rheumatology.The Dissociation between Polarity, Semantic Orientation, and Emotional Tone as an Early Indicator of Cognitive Impairment.Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.Learning a Health Knowledge Graph from Electronic Medical Records Evaluation of a Novel Syndromic Surveillance Query for Heat-Related Illness Using Hospital Data From Maricopa County, Arizona, 2015.Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records.The use of electronic health records for psychiatric phenotyping and genomics.The Diagnosis-Wide Landscape of Hospital-Acquired AKI.Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.Automatic mining of symptom severity from psychiatric evaluation notes.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Reproductive management in dairy cows - the future.Topic Modeling of Smoking- and Cessation-Related Posts to the American Cancer Society's Cancer Survivor Network (CSN): Implications for Cessation Treatment for Cancer Survivors Who Smoke.Automatic infection detection based on electronic medical records.Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.

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P2860

Extracting information from the text of electronic medical records to improve case detection: a systematic review

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2016 nî lūn-bûn

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2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2016年の論文

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2016年学术文章

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2016年学术文章

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Donia Scott

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Elizabeth Ford

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Creative Commons Attribution 4.0 International

P2860

Narrative based medicine: why study narrative?

Power of expression in the electronic patient record: structured data or narrative text?

Probabilistic case detection for disease surveillance using data in electronic medical records

Applying active learning to high-throughput phenotyping algorithms for electronic health records data

A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.

An administrative data validation study of the accuracy of algorithms for identifying rheumatoid arthritis: the influence of the reference standard on algorithm performance.

Managers see the problems associated with coding clinical data as a technical issue whilst clinicians also see cultural barriers.

Exploring the degree of concordance of coded and textual data in answering clinical queries from a clinical data repository.

Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.

Determining the date of diagnosis--is it a simple matter? The impact of different approaches to dating diagnosis on estimates of delayed care for ovarian cancer in UK primary care.

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