Information Storage and Retrieval
"Information Storage and Retrieval" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Organized activities related to the storage, location, search, and retrieval of information.
| Descriptor ID |
D016247
|
| MeSH Number(s) |
L01.313.500.750.280 L01.470
|
| Concept/Terms |
Machine-Readable Data Files- Machine-Readable Data Files
- Data File, Machine-Readable
- Data Files, Machine-Readable
- Files, Machine-Readable Data
- Machine Readable Data Files
- Machine-Readable Data File
|
Below are MeSH descriptors whose meaning is more general than "Information Storage and Retrieval".
Below are MeSH descriptors whose meaning is more specific than "Information Storage and Retrieval".
This graph shows the total number of publications written about "Information Storage and Retrieval" by people in this website by year, and whether "Information Storage and Retrieval" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2001 | 0 | 1 | 1 |
| 2002 | 1 | 2 | 3 |
| 2003 | 0 | 3 | 3 |
| 2004 | 0 | 4 | 4 |
| 2005 | 2 | 3 | 5 |
| 2006 | 1 | 0 | 1 |
| 2007 | 3 | 2 | 5 |
| 2009 | 3 | 1 | 4 |
| 2010 | 1 | 0 | 1 |
| 2011 | 1 | 2 | 3 |
| 2012 | 2 | 0 | 2 |
| 2013 | 1 | 0 | 1 |
| 2014 | 2 | 1 | 3 |
| 2015 | 0 | 1 | 1 |
| 2017 | 1 | 0 | 1 |
| 2018 | 0 | 1 | 1 |
| 2019 | 0 | 1 | 1 |
| 2021 | 0 | 1 | 1 |
| 2024 | 0 | 1 | 1 |
To return to the timeline,
click here.
Below are the most recent publications written about "Information Storage and Retrieval" by people in Profiles.
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Shen OY, Pratap JS, Li X, Chen NC, Bhashyam AR. How Does ChatGPT Use Source Information Compared With Google? A Text Network Analysis of Online Health Information. Clin Orthop Relat Res. 2024 04 01; 482(4):578-588.
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Harrison C, Brooks M, Goldstein JN, Papas M. Food Insecurity in Delaware: A Triangulation of Spatial Data Sources. Prev Chronic Dis. 2021 08 19; 18:E81.
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Weintraub WS. Role of Big Data in Cardiovascular Research. J Am Heart Assoc. 2019 07 16; 8(14):e012791.
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Li J, Needleman L, Liu JB, Lyshchik A, Forsberg F, Stanczak M, McAlister J, Eisenbrey J. Influence of Data Parsing on Contrast Enhanced Ultrasound Exams. Acad Radiol. 2019 08; 26(8):1030-1039.
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Goh WWB, Wang W, Wong L. Why Batch Effects Matter in Omics Data, and How to Avoid Them. Trends Biotechnol. 2017 06; 35(6):498-507.
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Morrison LJ, Gent LM, Lang E, Nunnally ME, Parker MJ, Callaway CW, Nadkarni VM, Fernandez AR, Billi JE, Egan JR, Griffin RE, Shuster M, Hazinski MF. Part 2: Evidence Evaluation and Management of Conflicts of Interest: 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2015 Nov 03; 132(18 Suppl 2):S368-82.
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Suzek BE, Wang Y, Huang H, McGarvey PB, Wu CH. UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches. Bioinformatics. 2015 Mar 15; 31(6):926-32.
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Zhu D, Li D, Carterette B, Liu H. Integrating information retrieval with distant supervision for gene ontology annotation. Database (Oxford). 2014; 2014.
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Zhu D, Wu S, Carterette B, Liu H. Using large clinical corpora for query expansion in text-based cohort identification. J Biomed Inform. 2014 Jun; 49:275-81.
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Lopez LD, Yu J, Arighi C, Tudor CO, Torii M, Huang H, Vijay-Shanker K, Wu C. A framework for biomedical figure segmentation towards image-based document retrieval. BMC Syst Biol. 2013; 7 Suppl 4:S8.