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186 Results
External Link
The Clinical Questions Collection is a repository of questions that have been collected between 1991 – 2003 from healthcare providers in clinical settings across the country. The questions have been submitted by investigators who wish to share their data with other researchers. This dataset is no-longer updated with new content. The collection is used in developing approaches to clinical and consumer-health question answering, as well as researching information needs of clinicians and the language they use to express their information needs. All files are formatted in XML.
Tags
data distribution
Updated
September 30 2022
Views
369
This resource was retired on June 1, 2021 and is no longer updated. These data remain available to support research and development efforts. More information is available at https://www.nlm.nih.gov/dimrc/disasterinfo.html.
Disaster Lit®: Database for Disaster Medicine and Public Health is a dataset of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, factsheets, websites, databases, and similar materials selected from over 700 organizations for a professional audience. Materials were selected from non-commercial publishing sources and supplement disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).
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disaster information
Updated
September 30 2022
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2,509
Yearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781. These totals may increase over time for a particular year as new citations are added. For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.
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pubmed
Updated
September 30 2022
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2,731
***The Computational Photography Project for Pill Identification (C3PI) was discontinued in 2018. No new images will be added to the collection. Identifiers for pills will not be updated.***
The Computational Photography Project for Pill Identification (C3PI) created the RxIMAGE database of freely available high-quality digital images of prescription pills and associated data for use in conducting computer vision research in text- and image-based search and retrieval. Photographs of pills for the RxIMAGE database were taken under laboratory lighting conditions, from a camera directly above the front and the back faces of the pill, at high resolution, and using specialized digital macro-photography techniques. Image segmentation algorithms were then applied to create the JPEG images in the database.
Historical information about the project is available in the NLM archive at https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification.
Updated
September 30 2022
Views
571
External Link
NLM produces bibliographic records for books, journals and other materials from NLM's collections in NLMXML, MARCXML and MARC 21 formats. These records can be searched at NLM LocatorPlus or the NLM Catalog.
Updated
September 30 2022
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461
External Link
Journal Article Tag Suite (JATS) is an application of NISO Z39.96.2019, which defines a set of XML elements and attributes for describing the textual and graphical content of journal articles and describes three article models.
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September 30 2022
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23
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