Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies

scientific article

Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/bmcbi/CohenEE13
P6179Dimensions Publication ID1016888882
P356DOI10.1186/1471-2105-14-10
P932PMC publication ID3599108
P698PubMed publication ID23323800
P5875ResearchGate publication ID234156436

P50authorNoémie ElhadadQ88391971
Michael ElhadadQ102310941
P2093author name stringRaphael Cohen
P2860cites workCopy-and-paste-and-pasteQ79359542
A piece of my mind. Copy-and-pasteQ83833202
Copy and paste: a remediable hazard of electronic health recordsQ83967322
Copy and paste of electronic health records: a modern medical illnessQ84072682
Gapped BLAST and PSI-BLAST: a new generation of protein database search programsQ24545170
Basic local alignment search toolQ25938991
The Pfam protein families database.Q27861012
The Unified Medical Language System (UMLS): integrating biomedical terminologyQ29547612
Rapid and sensitive sequence comparison with FASTP and FASTAQ29618272
Comparative biosequence metricsQ30011339
A general natural-language text processor for clinical radiologyQ33871423
Mining FDA drug labels using an unsupervised learning technique--topic modelingQ34099817
Quantifying clinical narrative redundancy in an electronic health recordQ34371588
Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial diseaseQ34371896
Clinical Case-based Retrieval Using Latent Topic Analysis.Q34584553
Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels.Q35551787
Evaluating measures of redundancy in clinical textsQ35625229
A comparative study of supervised learning as applied to acronym expansion in clinical reportsQ35727222
A natural language understanding system combining syntactic and semantic techniquesQ36469206
Electronic medical records for genetic research: results of the eMERGE consortiumQ36948611
Physicians' attitudes towards copy and pasting in electronic note writingQ37024480
Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility studyQ37319463
Second i2b2 workshop on natural language processing challenges for clinical recordsQ37322317
Using electronic health records to drive discovery in disease genomicsQ37876693
MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reportsQ38431258
Removing near-neighbour redundancy from large protein sequence collectionsQ47774415
P275copyright licenseCreative Commons Attribution 2.0 GenericQ19125117
P6216copyright statuscopyrightedQ50423863
P921main subjecttext miningQ676880
electronic health recordsQ10871684
P304page(s)10
P577publication date2013-01-16
P1433published inBMC BioinformaticsQ4835939
P1476titleRedundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies
P478volume14

Reverse relations

cites work (P2860)
Q47576875ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records.
Q88682203An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0.
Q94544821Association between antipsychotic drug dose and length of clinical notes: a proxy of disease severity?
Q28597789Automated methods for the summarization of electronic health records
Q90607264Big data analytics for preventive medicine
Q28602477Big data are coming to psychiatry: a general introduction
Q35596642Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials
Q91657954Clinical data quality: a data life cycle perspective
Q36906830Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.
Q90045776Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data
Q33896284Detecting clinically relevant new information in clinical notes across specialties and settings
Q34325102Identifying and mitigating biases in EHR laboratory tests
Q61448472Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study
Q35098994Longitudinal analysis of new information types in clinical notes
Q39143537Metrics for Electronic-Nursing-Record-Based Narratives: cross-sectional analysis
Q35098937Modeling clinical context: rediscovering the social history and evaluating language from the clinic to the wards
Q89734036Natural language processing of clinical mental health notes may add predictive value to existing suicide risk models
Q35097259Redundancy-aware topic modeling for patient record notes
Q91989075Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning
Q63977093Treatment engagement in an internet-delivered cognitive behavioral program for pediatric chronic pain
Q55433766Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.