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Entity normalization

Xem 1-20 trên 40 kết quả Entity normalization
  • The accessory breast is composed of residual glandular mammary tissue that persists after normal embryonic development. The entity is so rare that it is easily neglected in the diagnosis of disease.

    pdf4p vitiki 30-01-2024 5 2   Download

  • Collagen type VI-related disorders consist of Ullrich congenital muscular dystrophies (UCMD) and Bethlem myopathy, in which these entities are at two opposite extremes of the phenotype continuum. Clinical characteristics include proximal joint contracture, distal joint hyperlaxity, generalized muscle weakness, normal cognitive function, and pulmonary insufficiency.

    pdf9p vimulcahy 18-09-2023 3 3   Download

  • Ebook Relational databases and Microsoft Access: Part 2 includes contents: Chapter 6 Microsoft access queries – Advanced, Chapter 7 Entity relationship modeling, Chapter 8 Mapping an ERD to a relational database, Chapter 9 Data Definition Language (DDL), Chapter 10 Normalization, Appendix A: Forms involving multiple tables, Appendix B: SuperTypes and Subtypes.

    pdf147p haojiubujain03 24-07-2023 8 4   Download

  • Ebook Database systems: Design, implementation, and management – Part 1 presents the following contents: Chapter 1: Database systems, Chapter 2: Data Models, Chapter 3: The Relational Database Model, Chapter 4: Entity Relationship (ER) Modeling, Chapter 5: Normalization of Database Tables, Chapter 6: Introduction to Structured Query Language (SQL), Chapter 7: Advanced SQL, Chapter 8: Database Design.

    pdf460p haojiubujain01 06-06-2023 8 3   Download

  • In Hebrew online health communities, participants commonly write medical terms that appear as transliterated forms of a source term in English. Such transliterations introduce high variability in text and challenge text-analytics methods. To reduce their variability, medical terms must be normalized, such as linking them to Unified Medical Language System (UMLS) concepts.

    pdf8p vighostrider 25-05-2023 3 2   Download

  • Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identifying the span of ADE mentions, and ADE mention normalization to standardized terminologies.

    pdf9p vighostrider 25-05-2023 3 2   Download

  • Ebook Accounting for non-accounting students (Sixth edition): Part 1 presents the following content: Chapter 1 we provide some background about accounting, the accountancy profession, and the organizations that accountants work for. In Chapter 2 we outline the conventional rules that accountants normally follow when preparing accounting statements. In part 1 we outline the principles of double-entry book-keeping and explain how to prepare financial accounts for sole traders, companies, and for some other types of entities in the notfor-profit sector.

    pdf337p runthenight05 30-01-2023 12 2   Download

  • Lymphadenopathy referred as lymph node enlargement is the most common problem in dogs, may be due to inflammatory or non-inflammatory conditions including neoplasm.In case of cattle and buffalo, Theileriosis showed lymph node enlargement as the most common complaint. It is not a specific disease entity but an important clinical finding; the cause should be ascertained to attempt treatment and prognosis. Enlargement of lymph nodes often occurs following the proliferation of resident normal cells or infiltration of outside normal or abnormal cells.

    pdf9p chauchaungayxua11 23-03-2021 8 1   Download

  • In this chapter, the following content will be discussed: entity relationship diagrams, data modeling practice, schema conversion, and normalization. This chapter extends your database design skills by explaining the process to achieve an efficient implementation of your table design.

    ppt31p larachdumlanat122 26-11-2020 13 3   Download

  • This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables. In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems.

    ppt28p larachdumlanat122 26-11-2020 12 2   Download

  • In biomedical articles, a named entity recognition (NER) technique that identifies entity names from texts is an important element for extracting biological knowledge from articles. After NER is applied to articles, the next step is to normalize the identified names into standard concepts (i.e., disease names are mapped to the National Library of Medicine’s Medical Subject Headings disease terms).

    pdf12p viflorida2711 30-10-2020 14 2   Download

  • Although there is an enormous number of textual resources in the biomedical domain, currently, manually curated resources cover only a small part of the existing knowledge. The vast majority of these information is in unstructured form which contain nonstandard naming conventions.

    pdf12p vicoachella2711 27-10-2020 16 0   Download

  • Consisting of dictated free-text documents such as discharge summaries, medical narratives are widely used in medical natural language processing. Relationships between anatomical entities and human body parts are crucial for building medical text mining applications. To achieve this, we establish a mapping system consisting of a Wikipedia-based scoring algorithm and a named entit

    pdf11p vicolorado2711 23-10-2020 14 0   Download

  • Many disease causing genes have been identified through different methods, but there have been no uniform annotations of biomedical named entity (bio-NE) of the disease phenotypes of these genes yet. Furthermore, semantic similarity comparison between two bio-NE annotations has become important for data integration or system genetics analysis.

    pdf14p vicolorado2711 22-10-2020 10 0   Download

  • Automated biomedical named entity recognition and normalization serves as the basis for many downstream applications in information management. However, this task is challenging due to name variations and entity ambiguity. A biomedical entity may have multiple variants and a variant could denote several different entity identifiers.

    pdf15p vicolorado2711 22-10-2020 19 0   Download

  • In this chapter, you learned about entity relationship diagrams, data modeling practice, schema conversion, and normalization. This chapter extends your database design skills by explaining the process to achieve an efficient implementation of your table design.

    ppt31p nanhankhuoctai9 23-06-2020 14 1   Download

  • In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems. This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables.

    ppt30p nanhankhuoctai9 23-06-2020 19 0   Download

  • The aim of this study was to determine the feasibility, accuracy and diagnostic potential of combined static-excretory MR Urography in children with sonographically detected hydronephrosis. We prospectively evaluated 28 children (11 girls and 17 boys), mean age 8.3 years (range 2 months–16 years). Static-excretory MR Urography was performed in all cases. The results of MR Urography were compared with the results of other imaging modalities, cystoscopy and surgery. In 28 children, 61 renal units were evaluated by MR Urography (the renal unit is the kidney and its draining ureter).

    pdf9p trinhthamhodang1 16-11-2019 38 1   Download

  • Chapter 9 – Data design. Chapter 9 describes data design terms, concepts, and skills including entity-relationship diagrams, cardinality, data normalization rules, data warehousing, data mining, a comparison of logical and physical records, and data control measures.

    ppt45p nomoney6 04-03-2017 41 3   Download

  • You learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems. This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables.

    ppt36p nomoney1 10-02-2017 48 4   Download

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