1. 2641-2664 of 2696 « 1 2 ... 108 109 110 111 112 113 »
    1. Using temporal cohesion to predict temporal coherence in narrative and expository texts.

      Related Articles Using temporal cohesion to predict temporal coherence in narrative and expository texts. Behav Res Methods. 2007 May;39(2):212-23 Authors: Duran ND, McCarthy PM, Graesser AC, McNamara DS We investigated the linguistic features of temporal cohesion that distinguish variations in temporal coherence. In an analysis of 150 texts, experts rated temporal coherence on three continuous scale measures designed to capture unique representations of time. Coh-Metrix, a computational tool that assesses textual cohesion, correctly predicted the human ratings with five features of temporal cohesion. The correlations between predicted and actual scores were all statistically significant. In a complementary ...
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    2. A multiagent system for retrieving bioinformatics publications from web sources.

      Related Articles A multiagent system for retrieving bioinformatics publications from web sources. IEEE Trans Nanobioscience. 2007 Jun;6(2):104-9 Authors: Armano G, Manconi A, Vargiu E Due to the enormous amount of information available on the Internet, extracting and classifying it has become one of the most important tasks. This principle is valid also while searching for scientific publications. This paper describes a system able to retrieve scientific publications from the Web throughout a text categorization process. To this end, a generic multiagent architecture has been customized according to the requirements imposed by the specific task. Experiments have been ...
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    3. Learning string similarity measures for gene/protein name dictionary look-up using logistic regression.

      Related Articles Learning string similarity measures for gene/protein name dictionary look-up using logistic regression. Bioinformatics. 2007 Oct 15;23(20):2768-74 Authors: Tsuruoka Y, McNaught J, Tsujii J, Ananiadou S MOTIVATION: One of the bottlenecks of biomedical data integration is variation of terms. Exact string matching often fails to associate a name with its biological concept, i.e. ID or accession number in the database, due to seemingly small differences of names. Soft string matching potentially enables us to find the relevant ID by considering the similarity between the names. However, the accuracy of soft matching highly depends on ...
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    4. High-dimensional unsupervised selection and estimation of a finite generalized Dirichlet mixture model based on minimum message length.

      Related Articles High-dimensional unsupervised selection and estimation of a finite generalized Dirichlet mixture model based on minimum message length. IEEE Trans Pattern Anal Mach Intell. 2007 Oct;29(10):1716-31 Authors: Bouguila N, Ziou D We consider the problem of determining the structure of high-dimensional data, without prior knowledge of the number of clusters. Data are represented by a finite mixture model based on the generalized Dirichlet distribution. The generalized Dirichlet distribution has a more general covariance structure than the Dirichlet distribution and offers high flexibility and ease of use for the approximation of both symmetric and asymmetric distributions. This ...
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    5. Internet surveillance: content analysis and monitoring of product-specific internet prescription opioid abuse-related postings.

      Related Articles Internet surveillance: content analysis and monitoring of product-specific internet prescription opioid abuse-related postings. Clin J Pain. 2007 Sep;23(7):619-28 Authors: Butler SF, Venuti SW, Benoit C, Beaulaurier RL, Houle B, Katz N OBJECTIVES: This study describes the development of a systematic approach to the analysis of Internet chatter as a means of monitoring potentially abusable opioid analgesics. METHODS: Message boards dedicated to drug abuse were selected using specific inclusion criteria. Threaded discussions containing 48,293 posts were captured. A coding system was created to compare content of posts related to 3 opioid analgesics: Kadian, Vicodin, and ...
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      Mentions: Newton
    6. Neural basis of syntactic processing of simple sentences in Japanese.

      Related Articles Neural basis of syntactic processing of simple sentences in Japanese. Neuroreport. 2007 Sep 17;18(14):1437-41 Authors: Ogawa K, Ohba M, Inui T This study used event-related functional magnetic resonance imaging to investigate the neural basis underlying the sequential involvement of syntactic processing in the course of sentence comprehension. In experiments, a noun, case particle, and verb were presented one by one, constituting simple sentences in Japanese. Participants judged whether the sentence was syntactically correct (syntactic judgment) or whether the particle and verb had the same vowel (phonological judgment). During particle presentation, greater activation in the left ...
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    7. A Semantic Role Labeling System For Biomedical Verbs Using A Maximum-Entropy Model With Automatically Generated Template Features.

      Related Articles BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features. BMC Bioinformatics. 2007;8:325 Authors: Tsai RT, Chou WC, Su YS, Lin YC, Sung CL, Dai HJ, Yeh IT, Ku W, Sung TY, Hsu WL BACKGROUND: Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical field. A key IE task in this field is the extraction of biomedical ...
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    8. State-of-the-art anonymization of medical records using an iterative machine learning framework.

      Related Articles State-of-the-art anonymization of medical records using an iterative machine learning framework. J Am Med Inform Assoc. 2007 Sep-Oct;14(5):574-80 Authors: Szarvas G, Farkas R, Busa-Fekete R OBJECTIVE: The anonymization of medical records is of great importance in the human life sciences because a de-identified text can be made publicly available for non-hospital researchers as well, to facilitate research on human diseases. Here the authors have developed a de-identification model that can successfully remove personal health information (PHI) from discharge records to make them conform to the guidelines of the Health Information Portability and Accountability Act. DESIGN ...
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    9. Computers getting the drift.

      Related Articles Computers getting the drift. Philos Transact A Math Phys Eng Sci. 2007 Dec 15;365(1861):3019-31 Authors: McCarthy D Natural language processing is the study of computer programs that can understand and produce human language. An important goal in the research to produce such technology is identifying the right meaning of words and phrases. In this paper, we give an overview of current research in three areas: (i) inducing word meaning; (ii) distinguishing different meanings of words used in context; and (iii) determining when the meaning of a phrase cannot straightforwardly be obtained from its parts. Manual ...
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      Mentions: Brighton
    10. Medline search engine for finding genetic markers with biological significance.

      Related Articles Medline search engine for finding genetic markers with biological significance. Bioinformatics. 2007 Sep 15;23(18):2477-84 Authors: Xuan W, Wang P, Watson SJ, Meng F MOTIVATION: Genome-wide high density SNP association studies are expected to identify various SNP alleles associated with different complex disorders. Understanding the biological significance of these SNP alleles in the context of existing literature is a major challenge since existing search engines are not designed to search literature for SNPs or other genetic markers. The literature mining of gene and protein functions has received significant attention and effort while similar work on genetic ...
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    11. Fun&Co: identification of key functional differences in transcriptomes.

      Related Articles Fun&Co: identification of key functional differences in transcriptomes. Bioinformatics. 2007 Oct 15;23(20):2725-32 Authors: Gamberoni G, Lamma E, Lodo G, Marchesini J, Mascellani N, Rossi S, Storari S, Tagliavini L, Volinia S MOTIVATION: Microarray and other genome-wide technologies allow a global view of gene expression that can be used in several ways and whose potential has not been yet fully discovered. Functional insight into expression profiles is routinely obtained by using gene ontology terms associated to the cellular genes. In this article, we deal with functional data mining from expression profiles, proposing a novel approach ...
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      Mentions: Italy
    12. Biomedical data mining in clinical routine: expanding the impact of hospital information systems.

      Related Articles Biomedical data mining in clinical routine: expanding the impact of hospital information systems. Medinfo. 2007;12(Pt 1):340-4 Authors: Müller M, Markó K, Daumke P, Paetzold J, Roesner A, Klar R In this paper we want to describe how the promising technology of biomedical data mining can improve the use of hospital information systems: a large set of unstructured, narrative clinical data from a dermatological university hospital like discharge letters or other dermatological reports were processed through a morpho-semantic text retrieval engine ("MorphoSaurus") and integrated with other clinical data using a web-based interface and brought into ...
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    13. Multilingual information retrieval in thoracic radiology: feasibility study.

      Related Articles Multilingual information retrieval in thoracic radiology: feasibility study. Medinfo. 2007;12(Pt 1):387-91 Authors: Castilla AC, Furuie SS, Mendonça EA Most essential information contained in the electronic medical record is stored as text, and this imposes several difficulties on automated data extraction and retrieval. Natural language processing is an approach that can unlock clinical information from free texts. The proposed methodology uses the specialized natural language processor MEDLEE developed for the English language. To use this processor on Portuguese medical texts, chest X-ray reports were machine translated (MT) into English. The result of serial coupling of ...
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    14. Large-scale evaluation of a medical cross-language information retrieval system.

      Related Articles Large-scale evaluation of a medical cross-language information retrieval system. Medinfo. 2007;12(Pt 1):392-6 Authors: Markó K, Daumke P, Schulz S, Klar R, Hahn U We propose an approach to multilingual medical document retrieval in which complex word forms are segmented according to medically relevant morpho-semantic criteria. At its core lies a multilingual dictionary, in which entries are equivalence classes of subwords, i.e. semantically minimal units. Using two different standard test collections for the medical domain, we evaluate our approach for six languages covered by our system. PMID: 17911746 [PubMed - indexed for MEDLINE]
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    15. Evaluation of a simple method for the automatic assignment of MeSH descriptors to health resources in a French online catalogue.

      Related Articles Evaluation of a simple method for the automatic assignment of MeSH descriptors to health resources in a French online catalogue. Medinfo. 2007;12(Pt 1):407-11 Authors: Névéol A, Pereira S, Kerdelhué G, Dahamna B, Joubert M, Darmoni SJ BACKGROUND: The growing number of resources to be indexed in the catalogue of online health resources in French (CISMeF) calls for curating strategies involving automatic indexing tools while maintaining the catalogue's high indexing quality standards. OBJECTIVE: To develop a simple automatic tool that retrieves MeSH descriptors from documents titles. METHODS: In parallel to research on advanced ...
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    16. Using distributional analysis to semantically classify UMLS concepts.

      Related Articles Using distributional analysis to semantically classify UMLS concepts. Medinfo. 2007;12(Pt 1):519-23 Authors: Fan JW, Xu H, Friedman C The UMLS is a widely used and comprehensive knowledge source in the biomedical domain. It specifies biomedical concepts and their semantic categories, and therefore is valuable for Natural Language Processing (NLP) and other knowledge-based systems. However, the UMLS semantic classification is not always accurate, which adversely affects performance of these systems. Therefore, it is desirable to automatically validate, or, when necessary, to semantically reclassify UMLS concepts. We applied a distributional similarity method based on syntactic dependencies and ...
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      Mentions: Xu H Columbia
    17. Experiments with hierarchical concept-based search.

      Related Articles Experiments with hierarchical concept-based search. Medinfo. 2007;12(Pt 1):422-6 Authors: Moskovitch R, Sa'adon R, Behiri E, Martins S, Weiss A, Shahar Y Many digital libraries use hierarchical indexing schema, such as MeSH to enable concept based search in the retrieval phase. However, improving or outperforming the traditional full text search isn't trivial. We present an extensive set of experiments using a hierarchical concept based search retrieval method, applied in addition to several baselines, within the Vaidruya search and retrieval framework. Concept Based Search applied in addition to a low baseline is outperforming significantly, especially ...
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    18. A reappraisal of sentence and token splitting for life sciences documents.

      Related Articles A reappraisal of sentence and token splitting for life sciences documents. Medinfo. 2007;12(Pt 1):524-8 Authors: Tomanek K, Wermter J, Hahn U Natural language processing of real-world documents requires several low-level tasks such as splitting a piece of text into its constituent sentences, and splitting each sentence into its constituent tokens to be performed by some preprocessor (prior to linguistic analysis). While this task is often considered as unsophisticated clerical work, in the life sciences domain it poses enormous problems due to complex naming conventions. In this paper, we first introduce an annotation framework for sentence ...
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      Mentions: Germany
    19. Defining medical words: transposing morphosemantic analysis from French to English.

      Related Articles Defining medical words: transposing morphosemantic analysis from French to English. Medinfo. 2007;12(Pt 1):535-9 Authors: Deléger L, Namer F, Zweigenbaum P Medical language, as many technical languages, is rich with morphologically complex words, many of which take their roots in Greek and Latin-in which case they are called neoclassical compounds. Morphosemantic analysis can help generate definitions of such words. This paper reports work on the adaptation of a morphosemantic analyzer dedicated to French (DériF) to analyze English medical neoclassical compounds. It presents the principles of this transposition and its current performance. The analyzer was ...
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      Mentions: France Paris
    20. Finding malignant findings from radiological reports using medical attributes and syntactic information.

      Related Articles Finding malignant findings from radiological reports using medical attributes and syntactic information. Medinfo. 2007;12(Pt 1):540-4 Authors: Imai T, Aramaki E, Kajino M, Miyo K, Onogi Y, Ohe K Radiology reports are written primarily in natural language. Automated extraction of malignant findings from narrative reports is an important technique for clinical support or alert generation for physicians. This paper proposes a method for automatically extracting malignant findings from narrative radiological reports written in Japanese. First, sentences are parsed and a medical attribute of each phrase is determined. Next, sub-trees related to radiological findings are extracted from ...
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      Mentions: Japan Tokyo
    21. Extracting subject demographic information from abstracts of randomized clinical trial reports.

      Related Articles Extracting subject demographic information from abstracts of randomized clinical trial reports. Medinfo. 2007;12(Pt 1):550-4 Authors: Xu R, Garten Y, Supekar KS, Das AK, Altman RB, Garber AM In order to make more informed healthcare decisions, consumers need information systems that deliver accurate and reliable information about their illnesses and potential treatments. Reports of randomized clinical trials (RCTs) provide reliable medical evidence about the efficacy of treatments. Current methods to access, search for, and retrieve RCTs are keyword-based, time-consuming, and suffer from poor precision. Personalized semantic search and medical evidence summarization aim to solve this problem ...
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    22. A normalized lexical lookup approach to identifying UMLS concepts in free text.

      Related Articles A normalized lexical lookup approach to identifying UMLS concepts in free text. Medinfo. 2007;12(Pt 1):545-9 Authors: Bashyam V, Divita G, Bennett DB, Browne AC, Taira RK The National Library of Medicine has developed a tool to identify medical concepts from the Unified Medical Language System in free text. This tool - MetaMap (and its java version MMTx) has been used extensively for biomedical text mining applications. We have developed a module for MetaMap which has a high performance in terms of processing speed. We evaluated our module independently against MetaMap for the task of identifying UMLS ...
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    23. Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies.

      Related Articles Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies. Medinfo. 2007;12(Pt 1):555-9 Authors: Rassinoux AM, Baud RH, Rodrigues JM, Lovis C, Geissbühler A OBJECTIVES: The importance of clinical communication between providers, consumers and others, as well as the requisite for computer interoperability, strengthens the need for sharing common accepted terminologies. Under the directives of the World Health Organization (WHO), an approach is currently being conducted in Australia to adopt a standardized terminology for medical procedures that is intended to become an international reference. METHOD: In order to achieve such ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD