1. 2593-2616 of 2861 « 1 2 ... 106 107 108 109 110 111 112 ... 118 119 120 »
    1. Combining Web-based Searching with Latent Semantic Analysis to Discover Similarity Between Phrases.

      Related Articles Combining Web-based Searching with Latent Semantic Analysis to Discover Similarity Between Phrases. Lect Notes Comput Sci. 2006;4275(LNCS-I):1075-1091 Authors: Falconer SM, Maslov D, Storey MA Determining semantic similarity between words, concepts and phrases is important in many areas within Artificial Intelligence. This includes the general areas of information retrieval, data mining, and natural language processing. Existing approaches have primarily focused on noun to noun synonym comparison. We propose a new technique for the comparison of general expressions that combines web searching with Latent Semantic Analysis. This technique is more general than previous approaches, as it is ...
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    2. Optimal training sets for Bayesian prediction of MeSH assignment.

      Related Articles Optimal training sets for Bayesian prediction of MeSH assignment. J Am Med Inform Assoc. 2008 Jul-Aug;15(4):546-53 Authors: Sohn S, Kim W, Comeau DC, Wilbur WJ OBJECTIVES: The aim of this study was to improve naïve Bayes prediction of Medical Subject Headings (MeSH) assignment to documents using optimal training sets found by an active learning inspired method. DESIGN: The authors selected 20 MeSH terms whose occurrences cover a range of frequencies. For each MeSH term, they found an optimal training set, a subset of the whole training set. An optimal training set consists of all ...
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    3. The generative basis of natural number concepts.

      Related Articles The generative basis of natural number concepts. Trends Cogn Sci. 2008 Jun;12(6):213-8 Authors: Leslie AM, Gelman R, Gallistel CR Number concepts must support arithmetic inference. Using this principle, it can be argued that the integer concept of exactly ONE is a necessary part of the psychological foundations of number, as is the notion of the exact equality - that is, perfect substitutability. The inability to support reasoning involving exact equality is a shortcoming in current theories about the development of numerical reasoning. A simple innate basis for the natural number concepts can be proposed that embodies ...
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      Mentions: Piscataway
    4. Detection of Practice Pattern Trends through Natural Language Processing of Clinical Narratives and Biomedical Literature.

      Detection of Practice Pattern Trends through Natural Language Processing of Clinical Narratives and Biomedical Literature. AMIA Annu Symp Proc. 2007;:120-4 Authors: Chen E, Stetson PD, Lussier YA, Markatou M, Hripcsak G, Friedman C Clinical knowledge, best evidence, and practice patterns evolve over time. The ability to track these changes and study practice trends may be valuable for performance measurement and quality improvement efforts. The goal of this study was to assess the feasibility and validity of methods to generate and compare trends in biomedical literature and clinical narrative. We focused on the challenge of detecting trends in medication usage ...
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    5. Lessons extracting diseases from discharge summaries.

      Lessons extracting diseases from discharge summaries. AMIA Annu Symp Proc. 2007;:478-82 Authors: Long W We developed a program to extract diseases and procedures from discharge summaries and have applied this program to 96 cases annotated by physicians. We compared the concepts extracted by the program to those extracted by the annotators. The program extracts 93% of the desired concepts including some more specific than the annotators. Concepts were missed because phrases were ambiguous, phrases were missing words or were separated, or deduction was needed, among other reasons. The false positives were either insignificant findings, ambiguous phrases, or did not ...
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    6. An unsupervised machine learning approach to segmentation of clinician-entered free text.

      An unsupervised machine learning approach to segmentation of clinician-entered free text. AMIA Annu Symp Proc. 2007;:811-5 Authors: Wrenn J, Stetson PD, Johnson SB Natural language processing, an important tool in biomedicine, fails without successful segmentation of words and sentences. Tokenization is a form of segmentation that identifies boundaries separating semantic units, for example words, dates and numbers, within a text. We sought to construct a highly generalizeable tokenization algorithm with no prior knowledge of characters or their function, based on the inherent statistical properties of token and sentence boundaries. Tokenizing clinician-entered free text, we achieved precision and recall of ...
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    7. Pie: A Phenotype Interface Engine for Automated Representation in PATO and Semantic Web-Based Exchange of Clinical Data and Narratives.

      PIE: A Phenotype Interface Engine for Automated Representation in PATO and Semantic Web-Based Exchange of Clinical Data and Narratives. AMIA Annu Symp Proc. 2007;2007(2007):645 Authors: Tao Y, Patel C, Friedman C, Lussier YA The phenotypic qualities ontology (PATO) has been proposed to standardize the encoding and sharing of phenotypic data between model organisms databases. However, the scope and complexity of human phenotypes found within clinical narratives makes the representation and encoding process difficult for curators. To facilitate and expedite the annotation process in H. sapiens, we have developed a Phenotype Interface Engine (PIE) that automates the phenotypic ...
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    8. A study of abbreviations in clinical notes.

      A study of abbreviations in clinical notes. AMIA Annu Symp Proc. 2007;:821-5 Authors: Xu H, Stetson PD, Friedman C In many clinical notes, abbreviations are widely used without mention of their definitions, which is very different from the use of abbreviations in the biomedical literature. Thus, it is critical, but more challenging, for natural language processing (NLP) systems to correctly interpret abbreviations in these notes. In this paper we describe a study of a two-step model for building a clinical abbreviation database: first, detect abbreviations in a text corpus and then build a sense inventory for found abbreviations. Four ...
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    9. Evaluating an NLP-Based Approach to Modeling Computable Clinical Trial Eligibility Criteria.

      Evaluating an NLP-Based Approach to Modeling Computable Clinical Trial Eligibility Criteria. AMIA Annu Symp Proc. 2007;:878 Authors: Payne PR, Borlawsky T One area of active research and development within the clinical research informatics domain is the design and use of clinical trial participant recruitment tools. Such tools require the definition of clinical trial eligibility criteria in a computable format. This abstract describes a pilot study employing a natural language processing-based approach for abstracting generic query patterns that are representative of eligibility criteria as found in a corpus of clinical trial protocol documents. PMID: 18693979 [PubMed - in process]
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    10. Coding Free Text Radiology Reports Using the Cancer Text Information Extraction System (caTIES).

      Coding Free Text Radiology Reports Using the Cancer Text Information Extraction System (caTIES). AMIA Annu Symp Proc. 2007;2007(2007):889 Authors: Carrell D, Miglioretti D, Smith-Bindman R We coded 700 radiology reports from 373 women using an unmodified deployment of the Cancer Text Information Extraction System (caTIES), a publicly-available tool using natural language processing techniques. We were moderately successfully using caTIES for case ascertainment, successfully identifying 9/11 of a random sample of cancer case (sensitivity 82%) and 5/100 controls (specificity 95%) We are currently developing a classification scheme to assess clinical risk of ovarian cancer and identifying ...
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    11. Use of natural language programming to extract medication from unstructured electronic medical records.

      Use of natural language programming to extract medication from unstructured electronic medical records. AMIA Annu Symp Proc. 2007;:908 Authors: Chhieng D, Day T, Gordon G, Hicks J The purpose of this study is to evaluate the feasibility of applying natural language processing in the automated extraction of medications information from unstructured electronic records. Sixty-two documents containing medications were subjected to both manual and automated extraction. Both were able to identify over 90% medications. The automated method identified more medications than manual review, 97% vs 92%. However, the automated extraction included a substantial percentage (17%) of non-medication items but none ...
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    12. Tailoring Online Information Retrieval to Users Needs based on a Logical Semantic Approach to Natural Language Processing and UMLS mapping.

      Tailoring Online Information Retrieval to Users Needs based on a Logical Semantic Approach to Natural Language Processing and UMLS mapping. AMIA Annu Symp Proc. 2007;:1015 Authors: Kossman S, Jones J, Brennan P Depression can derail teenagers lives and cause serious chronic health problems. Acquiring pertinent knowledge and skills supports care management, but retrieving appropriate information can be difficult. This poster presents a strategy to tailor online information to user attributes using a logical semantic approach to natural language processing (NLP) and mapping propositions to UMLS terms. This approach capitalizes on existing NLM resources and presents a potentially sustainable plan ...
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    13. Information-Theoretic Classification of Snomed Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews.

      Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews. AMIA Annu Symp Proc. 2007;:1100 Authors: Sam LT, Borlawsky T, Tao Y, Li J, Smith B, Lussier YA The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts. PMID: 18694197 [PubMed - in process]
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    14. Natural Language Processing to Identify Venous Thromboembolic Events.

      Natural Language Processing to Identify Venous Thromboembolic Events. AMIA Annu Symp Proc. 2007;2007(2007):1089 Authors: Reichley RM, Henderson KE, Currie AM, Dunagan WC, Bailey T The Agency for Healthcare Research and Quality (AHRQ) has promulgated patient safety indicators to identify potentially preventable adverse safety events, including venous thromboembolism (VTE).1 Identification of these events for quality reporting is commonly done with AHRQ-defined ICD9-CM codes. We tested a natural language processing service (NLP) as an alternative method of identification. PMID: 18694187 [PubMed - as supplied by publisher]
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    15. Agreement between patient-reported symptoms and their documentation in the medical record.

      Agreement between patient-reported symptoms and their documentation in the medical record. Am J Manag Care. 2008 Aug;14(8):530-9 Authors: Pakhomov SV, Jacobsen SJ, Chute CG, Roger VL OBJECTIVES: To determine the agreement between patient-reported symptoms of chest pain, dyspnea, and cough and the documentation of these symptoms by physicians in the electronic medical record. METHODS: Symptoms reported on patient-provided information forms between January 1, 2006, and June 30, 2006, were compared with those identified by natural language processing of the text of clinical notes from care providers. Terms that represent the 3 symptoms were used to search clinical ...
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    16. Extraction of semantic biomedical relations from text using conditional random fields.

      Related Articles Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinformatics. 2008;9:207 Authors: Bundschus M, Dejori M, Stetter M, Tresp V, Kriegel HP BACKGROUND: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools. Named entity recognition of well-defined objects, such as genes or proteins, has achieved a sufficient level of maturity such that it can form the basis for the next step: the extraction of relations that exist between the recognized entities. Whereas most ...
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    17. Facilitating the development of controlled vocabularies for metabolomics technologies with text mining.

      Related Articles Facilitating the development of controlled vocabularies for metabolomics technologies with text mining. BMC Bioinformatics. 2008;9 Suppl 5:S5 Authors: Spasić I, Schober D, Sansone SA, Rebholz-Schuhmann D, Kell DB, Paton NW BACKGROUND: Many bioinformatics applications rely on controlled vocabularies or ontologies to consistently interpret and seamlessly integrate information scattered across public resources. Experimental data sets from metabolomics studies need to be integrated with one another, but also with data produced by other types of omics studies in the spirit of systems biology, hence the pressing need for vocabularies and ontologies in metabolomics. However, it is time-consuming and ...
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    18. Evaluating healthcare quality using natural language processing.

      Evaluating healthcare quality using natural language processing. J Healthc Qual. 2008 Jul-Aug;30(4):24-9 Authors: Baldwin KB Consistent monitoring for quality indicators as adverse events or missed screening opportunities remains a difficult proposition for most healthcare organizations. Much of the clinical data needed for quality reports is imbedded in narrative reports in the electronic health record. Narrative data most often require costly retrieval by manual data extraction. NUD*IST, a qualitative research computer program, was used as an automated natural Language processing tool to extract and code data for analysis of screening and treatment for breast cancer. The study ...
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      Mentions: DeKalb
    19. Biomedical ontologies in action: role in knowledge management, data integration and decision support.

      Biomedical ontologies in action: role in knowledge management, data integration and decision support. Yearb Med Inform. 2008;:67-79 Authors: Bodenreider O OBJECTIVES: To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. METHODS: Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. RESULTS: The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational ...
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    20. Decision support, knowledge representation and management: structuring knowledge for better access. Findings from the yearbook 2008 section on decision support, knowledge representation and management.

      Decision support, knowledge representation and management: structuring knowledge for better access. Findings from the yearbook 2008 section on decision support, knowledge representation and management. Yearb Med Inform. 2008;:80-2 Authors: Rassinoux AM, OBJECTIVES: To summarize current outstanding research in the field of decision support, knowledge representation and management. METHOD: Synopsis of the articles selected for the IMIA Yearbook 2008. RESULTS: Five papers from international peer reviewed journals have been selected for the section on decision support, knowledge representation and management. They address a wide range of topics such as the recognition and extraction of negation or time from clinical narratives ...
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    21. A comparison of two lists providing emotional norms for English words (anew and the Dal).

      Related Articles A comparison of two lists providing emotional norms for English words (ANEW and the DAL). Psychol Rep. 2008 Apr;102(2):597-600 Authors: Whissell C Although different in terms of purpose, word-selection procedures, and rating scales, both the ANEW (n = 1034) and DAL (n = 8742) lists, which have 633 words in common, provide normative emotional ratings for English words. This research compared the lists and cross-validated the two main lexical dimensions of affect. Parallel representatives of the two dimensions (Valence and Pleasantness, Arousal and Activation) were correlated across lists (rs = .86, .63). In tune with their separate purposes ...
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    22. Self-regulation of regional cortical activity using real-time fMRI: The right inferior frontal gyrus and linguistic processing.

      Self-regulation of regional cortical activity using real-time fMRI: The right inferior frontal gyrus and linguistic processing. Hum Brain Mapp. 2008 Jul 25; Authors: Rota G, Sitaram R, Veit R, Erb M, Weiskopf N, Dogil G, Birbaumer N Neurofeedback of functional magnetic resonance imaging (fMRI) can be used to acquire selective control over activation in circumscribed brain areas, potentially inducing behavioral changes, depending on the functional role of the targeted cortical sites. In the present study, we used fMRI-neurofeedback to train subjects to enhance regional activation in the right inferior frontal gyrus (IFG) to influence speech processing and to modulate language-related ...
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    23. PageRank without hyperlinks: reranking with PubMed related article networks for biomedical text retrieval.

      Related Articles PageRank without hyperlinks: reranking with PubMed related article networks for biomedical text retrieval. BMC Bioinformatics. 2008;9:270 Authors: Lin J BACKGROUND: Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships from manually-created hyperlinks. We consider the application of these techniques to biomedical text retrieval. In the current PubMed(R) search interface, a MEDLINE(R) citation is connected to a number of related citations, which are in turn connected to other citations. Thus, a MEDLINE record represents a node in a vast content-similarity network ...
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    24. Annotation-based inference of transporter function.

      Related Articles Annotation-based inference of transporter function. Bioinformatics. 2008 Jul 1;24(13):i259-67 Authors: Lee TJ, Paulsen I, Karp P MOTIVATION: We present a method for inferring and constructing transport reactions for transporter proteins based primarily on the analysis of the names of individual proteins in the genome annotation of an organism. Transport reactions are declarative descriptions of transporter activities, and thus can be manipulated computationally, unlike free-text protein names. Once transporter activities are encoded as transport reactions, a number of computational analyses are possible including database queries by transporter activity; inclusion of transporters into an automatically generated metabolic-map ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD