1. 49-72 of 2862 « 1 2 3 4 5 6 ... 118 119 120 »
    1. Simplifying drug package leaflets written in Spanish by using word embedding.

      Simplifying drug package leaflets written in Spanish by using word embedding.

      Simplifying drug package leaflets written in Spanish by using word embedding.

      J Biomed Semantics. 2017 Sep 29;8(1):45

      Authors: Segura-Bedmar I, Martínez P

      Abstract BACKGROUND: Drug Package Leaflets (DPLs) provide information for patients on how to safely use medicines. Pharmaceutical companies are responsible for producing these documents.

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      Mentions: Martínez
    2. Mimvec: a deep learning approach for analyzing the human phenome.

      Mimvec: a deep learning approach for analyzing the human phenome.

      Mimvec: a deep learning approach for analyzing the human phenome.

      BMC Syst Biol. 2017 Sep 21;11(Suppl 4):76

      Authors: Gan M, Li W, Zeng W, Wang X, Jiang R

      Abstract BACKGROUND: The human phenome has been widely used with a variety of genomic data sources in the inference of disease genes. However, most existing methods thus far derive phenotype similarity based on the analysis of biomedical databases by using the traditional term frequency-inverse document frequency (TF-IDF) formulation.

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    3. Fact-based Visual Question Answering.

      Fact-based Visual Question Answering.

      FVQA: Fact-based Visual Question Answering.

      IEEE Trans Pattern Anal Mach Intell. 2017 Sep 19;:

      Authors: Wang P, Wu Q, Shen C, Dick A, Hengel AVD

      Abstract Visual Question Answering (VQA) has attracted much attention in both computer vision and natural language processing communities, not least because it offers insight into the relationships between two important sources of information.

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    4. Decoding the neural representation of story meanings across languages.

      Decoding the neural representation of story meanings across languages.

      Decoding the neural representation of story meanings across languages.

      Hum Brain Mapp. 2017 Sep 20;:

      Authors: Dehghani M, Boghrati R, Man K, Hoover J, Gimbel SI, Vaswani A, Zevin JD, Immordino-Yang MH, Gordon AS, Damasio A, Kaplan JT

      Abstract Drawing from a common lexicon of semantic units, humans fashion narratives whose meaning transcends that of their individual utterances.

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      Mentions: Farsi
    5. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process.

      The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process.

      The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process.

      JMIR Res Protoc. 2017 Sep 21;6(9):e179

      Authors: Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni SJ, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N

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      Mentions: Pereira
    6. Assigning factuality values to semantic relations extracted from biomedical research literature.

      Assigning factuality values to semantic relations extracted from biomedical research literature.

      Assigning factuality values to semantic relations extracted from biomedical research literature.

      PLoS One. 2017;12(7):e0179926

      Authors: Kilicoglu H, Rosemblat G, Rindflesch TC

      Abstract Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text mining has focused on extracting propositions from biomedical literature.

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    7. The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. A Systematic Literature Review.

      The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. A Systematic Literature Review.

      The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. A Systematic Literature Review.

      Appl Clin Inform. 2017 Sep 20;8(3):964-980

      Authors: Maritz R, Aronsky D, Prodinger B

      Abstract BACKGROUND: The International Classification of Functioning, Disability and Health (ICF) is the World Health Organization's standard for describing health and health-related states.

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    8. Patient-specific workup of adrenal incidentalomas.

      Patient-specific workup of adrenal incidentalomas.

      Patient-specific workup of adrenal incidentalomas.

      Eur J Radiol Open. 2017;4:108-114

      Authors: Haan RR, Visser JBR, Pons E, Feelders RA, Kaymak U, Hunink MGM, Visser JJ

      Abstract PURPOSE: : To develop a clinical prediction model to predict a clinically relevant adrenal disorder for patients with adrenal incidentaloma. MATERIALS AND METHODS: : This retrospective study is approved by the institutional review board, with waiver of informed consent.

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    9. Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.

      Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.

      Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.

      J Digit Imaging. 2017 Sep 18;:

      Authors: Trivedi H, Mesterhazy J, Laguna B, Vu T, Sohn JH

      Abstract Magnetic resonance imaging (MRI) protocoling can be time- and resource-intensive, and protocols can often be suboptimal dependent upon the expertise or preferences of the protocoling radiologist.

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      Mentions: IBM Watson
    10. Identification of patients with congenital hemophilia in a large electronic health record database.

      Identification of patients with congenital hemophilia in a large electronic health record database.

      Identification of patients with congenital hemophilia in a large electronic health record database.

      J Blood Med. 2017;8:131-139

      Authors: Wang M, Cyhaniuk A, Cooper DL, Iyer NN

      Abstract BACKGROUND: Electronic health records (EHRs) are an important source of information with regard to diagnosis and treatment of rare health conditions, such as congenital hemophilia, a bleeding disorder characterized by deficiency of factor VIII (FVIII) or factor IX (FIX).

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      Mentions: EHR
    11. Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

      Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

      Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

      J Clin Gastroenterol. 2017 Sep 12;:

      Authors: Lee JK, Jensen CD, Levin TR, Zauber AG, Doubeni CA, Zhao WK, Corley DA

      Abstract OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report formats.

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      Mentions: NLP
    12. Decline of insulin therapy and delays in insulin initiation in people with uncontrolled diabetes mellitus.

      Decline of insulin therapy and delays in insulin initiation in people with uncontrolled diabetes mellitus.

      Decline of insulin therapy and delays in insulin initiation in people with uncontrolled diabetes mellitus.

      Diabet Med. 2017 Sep 14;:

      Authors: Hosomura N, Malmasi S, Timerman D, Lei VJ, Zhang H, Chang L, Turchin A

      Abstract AIMS: To design and validate a natural language processing algorithm to identify insulin therapy decline from the text of physician notes, and to determine the prevalence of insulin therapy decline and its impact on insulin initiation.

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    13. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

      Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

      Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

      J Med Internet Res. 2017 Sep 12;19(9):e315

      Authors: Kagashe I, Yan Z, Suheryani I

      Abstract BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topics about these drugs from consumers for successful implementation of control measures. Traditional survey methods would have accomplished this study, but they are too costly in terms of resources ...

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    14. Correlate: A Pacs- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

      Correlate: A Pacs- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

      Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

      Radiographics. 2017 Sep-Oct;37(5):1451-1460

      Authors: Kovacs MD, Mesterhazy J, Avrin D, Urbania T, Mongan J

      Abstract A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated.

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      Mentions: NLP EHR Rsna
    15. Machine-learned and codified synthesis parameters of oxide materials.

      Machine-learned and codified synthesis parameters of oxide materials.

      Machine-learned and codified synthesis parameters of oxide materials.

      Sci Data. 2017 Sep 12;4:170127

      Authors: Kim E, Huang K, Tomala A, Matthews S, Strubell E, Saunders A, McCallum A, Olivetti E

      Abstract Predictive materials design has rapidly accelerated in recent years with the advent of large-scale resources, such as materials structure and property databases generated by ab initio computations.

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    16. Design of an extensive information representation scheme for clinical narratives.

      Design of an extensive information representation scheme for clinical narratives.

      Design of an extensive information representation scheme for clinical narratives.

      J Biomed Semantics. 2017 Sep 11;8(1):37

      Authors: Deléger L, Campillos L, Ligozat AL, Névéol A

      Abstract BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomedical processes, and to the analysis of biomedical texts that describe them.

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      Mentions: Deleger L EHR
    17. Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Soc Sci Res. 2017 Sep;67:91-114

      Authors: Mausolf JG

      Abstract I examine the role of Occupy Wall Street in shifting presidential and congressional discourse on economic fairness and inequality.

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      Mentions: Congress Obama
    18. Analysis of Annotated Data Models for Improving Data Quality.

      Analysis of Annotated Data Models for Improving Data Quality.

      Analysis of Annotated Data Models for Improving Data Quality.

      Stud Health Technol Inform. 2017;243:190-194

      Authors: Ulrich H, Kock-Schoppenhauer AK, Andersen B, Ingenerf J

      Abstract The public Medical Data Models (MDM) portal with more than 9.000 annotated forms from clinical trials and other sources provides many research opportunities for the medical informatics community.

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    19. A Semantic Sentence Similarity Estimation System For The Biomedical Domain.

      A Semantic Sentence Similarity Estimation System For The Biomedical Domain.

      BIOSSES: a semantic sentence similarity estimation system for the biomedical domain.

      Bioinformatics. 2017 Jul 15;33(14):i49-i58

      Authors: Sogancioglu G, Öztürk H, Özgür A

      Abstract Motivation: The amount of information available in textual format is rapidly increasing in the biomedical domain. Therefore, natural language processing (NLP) applications are becoming increasingly important to facilitate the retrieval and analysis of these data.

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      Mentions: NLP Pearson
    20. Text Mining in Biomedical Domain with Emphasis on Document Clustering.

      Text Mining in Biomedical Domain with Emphasis on Document Clustering.

      Text Mining in Biomedical Domain with Emphasis on Document Clustering.

      Healthc Inform Res. 2017 Jul;23(3):141-146

      Authors: Renganathan V

      Abstract OBJECTIVES: With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents.

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    21. An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      IEEE/ACM Trans Comput Biol Bioinform. 2016 Jul-Aug;13(4):634-42

      Authors: Jiang Z, Li L, Huang D

      Abstract In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words.

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      Mentions: Li L
    22. Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      IEEE/ACM Trans Comput Biol Bioinform. 2016 Jul-Aug;13(4):669-77

      Authors: Li L, Liu S, Qin M, Wang Y, Huang D

      Abstract Extracting biomedical event from literatures has attracted much attention recently. By now, most of the state-of-the-art systems have been based on pipelines which suffer from cascading errors, and the words encoded by one-hot are unable to represent the semantic information.

      Read Full Article
      Mentions: Li L Wang Y
    49-72 of 2862 « 1 2 3 4 5 6 ... 118 119 120 »
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