1. Elsevier Inc.

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    1. Mentioned In 175 Articles

    2. Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.

      Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.
      Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. J Biomed Inform. 2016 Oct 8;: Authors: Yim WW, Kwan SW, Yetisgen M Abstract BACKGROUND: Anaphoric references occur ubiquitously in clinical narrative text. However, the problem, still very much an open challenge, is typically less aggressively focused on in clinical text domain applications.
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      Mentions: Elsevier Inc. MUC
    3. Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study.

      Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study.
      Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study. J Clin Lipidol. 2016 Sep-Oct;10(5):1230-9 Authors: Safarova MS, Liu H, Kullo IJ Abstract BACKGROUND: Little is known about prevalence, awareness, and control of familial hypercholesterolemia (FH) in the United States.
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      Mentions: EHR Elsevier Inc. Liu
    4. A Part-Of-Speech Term Weighting Scheme for Biomedical Information Retrieval.

      A Part-Of-Speech Term Weighting Scheme for Biomedical Information Retrieval.
      A Part-Of-Speech Term Weighting Scheme for Biomedical Information Retrieval. J Biomed Inform. 2016 Sep 1; Authors: Wang Y, Wu S, Li D, Mehrabi S, Liu H Abstract In the era of digitalization, information retrieval (IR), which retrieves and ranks documents from large collections according to users' search queries, has been popularly applied in the biomedical domain.
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      Mentions: Markov NLP Trec
    5. A Pilot Study of a Heuristic Algorithm for Novel Template Identification from VA Electronic Medical Record Text.

      A Pilot Study of a Heuristic Algorithm for Novel Template Identification from VA Electronic Medical Record Text.
      A Pilot Study of a Heuristic Algorithm for Novel Template Identification from VA Electronic Medical Record Text. J Biomed Inform. 2016 Aug 3; Authors: Redd AM, Gundlapalli AV, Divita G, Carter ME, Tran LT, Samore MH Abstract RATIONALE: Templates in text notes pose challenges for automated information extraction algorithms. We propose a method that identifies novel templates in plain text medical notes.
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      Mentions: Elsevier Inc.
    6. A Computational Framework for Converting Textual Clinical Diagnostic Criteria into the Quality Data Model.

      A Computational Framework for Converting Textual Clinical Diagnostic Criteria into the Quality Data Model.
      A Computational Framework for Converting Textual Clinical Diagnostic Criteria into the Quality Data Model. J Biomed Inform. 2016 Jul 18; Authors: Hong N, Li D, Yu Y, Xiu Q, Liu H, Jiang G Abstract BACKGROUND: Constructing standard and computable clinical diagnostic criteria is an important but challenging research field in the clinical informatics community. The Quality Data Model (QDM) is emerging as a promising information model for standardizing clinical diagnostic ...
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    7. A Unified Framework for Evaluating the Risk of Re-identification of Text De-identification Tools.

      A Unified Framework for Evaluating the Risk of Re-identification of Text De-identification Tools.
      A Unified Framework for Evaluating the Risk of Re-identification of Text De-identification Tools. J Biomed Inform. 2016 Jul 14; Authors: Scaiano M, Middleton G, Arbuckle L, Kolhatkar V, Peyton L, Dowling M, Gipson DS, Emam KE Abstract OBJECTIVES: It has become regular practice to de-identify unstructured medical text for use in research using automatic methods, the goal of which is to remove patient identifying information to minimize re-identification risk.
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    8. Detecting the Presence of an Indwelling Urinary Catheter and Urinary Symptoms in Hospitalized Patients Using Natural Language Processing.

      Detecting the Presence of an Indwelling Urinary Catheter and Urinary Symptoms in Hospitalized Patients Using Natural Language Processing.
      Detecting the Presence of an Indwelling Urinary Catheter and Urinary Symptoms in Hospitalized Patients Using Natural Language Processing. J Biomed Inform. 2016 Jul 9; Authors: Gundlapalli AV, Divita G, Redd A, Carter ME, Ko D, Rubin M, Samore M, Strymish J, Krein S, Gupta K, Sales A, Trautner BW
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      Mentions: Elsevier Inc.
    9. Using Automatically Extracted Information from Mammography Reports for Decision- Support.

      Using Automatically Extracted Information from Mammography Reports for Decision- Support.
      Using Automatically Extracted Information from Mammography Reports for Decision- Support. J Biomed Inform. 2016 Jul 4; Authors: Bozkurt S, Gimenez F, Burnside ES, Gulkesen KH, Rubin DL Abstract OBJECTIVE: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis.
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      Mentions: NLP Elsevier Inc. DSS
    10. A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports.

      A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports.
      A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports. J Biomed Inform. 2016 Jun 17; Authors: Wang W, Kreimeyer K, Woo EJ, Ball R, Foster M, Pandey A, Scott J, Botsis T
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    11. Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.

      Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.
      Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS. J Biomed Inform. 2015 Aug;56:57-64 Authors: De-Arteaga M, Eggel I, Do B, Rubin D, Kahn CE, Müller H Abstract Information search has changed the way we manage knowledge and the ubiquity of information access has made search a frequent activity, whether via Internet search engines or increasingly via mobile devices.
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    12. Identifying synonymy between relational phrases using word embeddings.

      Identifying synonymy between relational phrases using word embeddings.
      Identifying synonymy between relational phrases using word embeddings. J Biomed Inform. 2015 Aug;56:94-102 Authors: Nguyen NT, Miwa M, Tsuruoka Y, Tojo S Abstract Many text mining applications in the biomedical domain benefit from automatic clustering of relational phrases into synonymous groups, since it alleviates the problem of spurious mismatches caused by the diversity of natural language expressions.
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    13. Effect of k-tuple length on sample-comparison with high-throughput sequencing data.

      Effect of k-tuple length on sample-comparison with high-throughput sequencing data.
      Effect of k-tuple length on sample-comparison with high-throughput sequencing data. Biochem Biophys Res Commun. 2016 Jan 22;469(4):1021-7 Authors: Wang Y, Lei X, Wang S, Wang Z, Song N, Zeng F, Chen T Abstract The high-throughput metagenomic sequencing offers a powerful technique to compare the microbial communities. Without requiring extra reference sequences, alignment-free models with short k-tuple (k = 2-10 bp) yielded promising results.
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      Mentions: Elsevier Inc.
    14. Cardiovascular risk in patients with alopecia areata (AA): A propensity-matched retrospective analysis.

      Cardiovascular risk in patients with alopecia areata (AA): A propensity-matched retrospective analysis.
      Cardiovascular risk in patients with alopecia areata (AA): A propensity-matched retrospective analysis. J Am Acad Dermatol. 2016 May 13; Authors: Huang KP, Joyce CJ, Topaz M, Guo Y, Mostaghimi A Abstract BACKGROUND: The cardiovascular risk of patients with alopecia areata (AA) is not well characterized, with limited studies evaluating the risk of acute myocardial infarction (AMI) and ischemic stroke.
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    15. 1-15 of 175 1 2 3 4 ... 10 11 12 »
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