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  • Los usuarios normales (investigadores) utilizan las colecciones para organizar su material publicado, o para crear colecciones de conjuntos de datos relevantes o útiles, mientras que los gestores de repositorios y los bibliotecarios de datos utilizan las colecciones para organizar y catalogar los contenidos de todo su repositorio.
    Data Types:
    • Collection
  • The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Since 2018, Elsevier have generated SDG search queries to help researchers and institutions track and demonstrate progress towards the targets of the United Nations Sustainable Development Goals (SDGs). At the end of 2018, Elsevier worked on 2 versions of the SDG queries. One version was created by the Elsevier Analytical Services group and another by the Science-Metrix group, who had recently become part of Elsevier. At that time Science-Metrix was creating queries for 5 of the 16 SDGs, as part of pro-bono work for UNESCO. In 2020 inspired by the earlier queries, Elsevier, through its Science-Metrix group, used a new approach to mapping publications to the SDGs. Taking customer feedback into account, they significantly increased the number of search terms used to define each SDG. Those queries were then complemented by a machine learning model, which helped increase the recall by approximately 10%. As a result, this year’s “Elsevier 2021 SDG mapping” captures on average twice as many articles as the 2020 version, while keeping precision above 80%. The mapping also has a better overlap with SDG queries from other independent projects. Times Higher Education (THE) are using the “Elsevier 2021 SDG mapping” as part of their 2021 Impact Rankings. The documentation below, describes the methods used and shares the queries.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Human Disease AuthorAid Collection combines information about rare and common diseases in standardized, easy-to-navigate overview templates and tables. It includes clinical, molecular, and pharmacological data from several Elsevier and public sources. Tables are planned to be updated with the latest citations quarterly. AuthorAid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because it highlights updates and findings from several sources on one page.
    Data Types:
    • Collection
  • Dataset description
    Data Types:
    • Tabular Data
    • Dataset
  • Alopecia areata recurrence patterns in children and young adults while on systemic tofacitinib therapy
    Data Types:
    • Dataset
  • The dataset includes models, sub-networks, and signaling pathways depicting roles of histone modification sites in cell biology and cancer. Pathways were manually reconstructed in Pathway Studio software and based on Resnet - literature extracted network of molecular interactions. Sub-networks were built based on information from publicly available databases. All models have rich annotations including identification for objects and references for interactions between them.
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Document
    • File Set
  • Supplementary data for JAAD-D-20-01405R4 - Evaluation of the Effect of Store-and-Forward Teledermatology on In-person Healthcare System Utilization in a Safety-Net Public Health and Hospital System
    Data Types:
    • Dataset
    • Document
  • The attached file contains R code which encompasses and describes the process of loading data, cleaning data, selecting variables, imputing missing values, creating training and test sets, model building and evaluation. Additionally, the code contains the process to create graphs and tables for data and model evaluation. The goal was to build a logistic regression model to predict outcomes after surgery for colon cancer and to compare its performance with machine learning algorithms. An XGBgoost model, a Random Forest model and an XGBoost model from oversampled data using SMOTE were built and compared with logistic regression. Overall, the machine learning algorithms had improved AUC.
    Data Types:
    • Dataset
  • -----> Human Disease Author Aid Collection combines information about rare and common diseases in standardized, easy-to-navigate overview templates and tables. It includes clinical, molecular, and pharmacological data from several Elsevier's and public sources. Tables are planned to be updated quarterly. -----> Author Aid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because it highlights updates and findings from several sources on one page. -----> Each disease template overview includes 6 sections: Terminology; Epidemiology/Demographics; Clinical presentation/Diagnosis; Etiology/Pathology (genetics, biomarkers, pathways); Treatment/Follow-Up; Case studies. Each subset of data is linked to a list of publications with relevant citations. -----> Monogenetic Rare Diseases (Human Disease Author Aid Collection, Part 2) In the current part, monogenetic rare diseases were chosen based on their classification, prevalence, and degree of data availability. By "monogenetic" we mean diseases that are caused by one or few known mutations. We considered worldwide point prevalence between PLEASE download files to read them and open the links!
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Document
  • -----> Chromosome Microdeletions Rare Disease (Author Aid Human Disease Collection, Part 3) This is an addition to Author Aid Human Disease Collection (see in Mendeley datasets). Part 3 includes available at the moment automatically generated text-mining information for the list of selected rare diseases with microdeletions. Files are planned to be updated quarterly. ----->Please download the files to read and open links!
    Data Types:
    • Tabular Data
    • Dataset
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