scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/CohenEE13 |
P6179 | Dimensions Publication ID | 1016888882 |
P356 | DOI | 10.1186/1471-2105-14-10 |
P932 | PMC publication ID | 3599108 |
P698 | PubMed publication ID | 23323800 |
P5875 | ResearchGate publication ID | 234156436 |
P50 | author | Noémie Elhadad | Q88391971 |
Michael Elhadad | Q102310941 | ||
P2093 | author name string | Raphael Cohen | |
P2860 | cites work | Copy-and-paste-and-paste | Q79359542 |
A piece of my mind. Copy-and-paste | Q83833202 | ||
Copy and paste: a remediable hazard of electronic health records | Q83967322 | ||
Copy and paste of electronic health records: a modern medical illness | Q84072682 | ||
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
Basic local alignment search tool | Q25938991 | ||
The Pfam protein families database. | Q27861012 | ||
The Unified Medical Language System (UMLS): integrating biomedical terminology | Q29547612 | ||
Rapid and sensitive sequence comparison with FASTP and FASTA | Q29618272 | ||
Comparative biosequence metrics | Q30011339 | ||
A general natural-language text processor for clinical radiology | Q33871423 | ||
Mining FDA drug labels using an unsupervised learning technique--topic modeling | Q34099817 | ||
Quantifying clinical narrative redundancy in an electronic health record | Q34371588 | ||
Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease | Q34371896 | ||
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 texts | Q35625229 | ||
A comparative study of supervised learning as applied to acronym expansion in clinical reports | Q35727222 | ||
A natural language understanding system combining syntactic and semantic techniques | Q36469206 | ||
Electronic medical records for genetic research: results of the eMERGE consortium | Q36948611 | ||
Physicians' attitudes towards copy and pasting in electronic note writing | Q37024480 | ||
Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study | Q37319463 | ||
Second i2b2 workshop on natural language processing challenges for clinical records | Q37322317 | ||
Using electronic health records to drive discovery in disease genomics | Q37876693 | ||
MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports | Q38431258 | ||
Removing near-neighbour redundancy from large protein sequence collections | Q47774415 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P921 | main subject | text mining | Q676880 |
electronic health records | Q10871684 | ||
P304 | page(s) | 10 | |
P577 | publication date | 2013-01-16 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies | |
P478 | volume | 14 |
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Q35098937 | Modeling clinical context: rediscovering the social history and evaluating language from the clinic to the wards |
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Q91989075 | Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning |
Q63977093 | Treatment engagement in an internet-delivered cognitive behavioral program for pediatric chronic pain |
Q55433766 | Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore. |