Pattern Recognition, Automated
"Pattern Recognition, Automated" 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.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
Below are MeSH descriptors whose meaning is more general than "Pattern Recognition, Automated".
Below are MeSH descriptors whose meaning is more specific than "Pattern Recognition, Automated".
This graph shows the total number of publications written about "Pattern Recognition, Automated" by people in Harvard Catalyst Profiles by year, and whether "Pattern Recognition, Automated" was a major or minor topic of these publication.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1991 | 0 | 1 | 1 |
| 1992 | 0 | 1 | 1 |
| 1993 | 0 | 1 | 1 |
| 1996 | 0 | 1 | 1 |
| 1997 | 0 | 1 | 1 |
| 1998 | 0 | 4 | 4 |
| 1999 | 0 | 1 | 1 |
| 2000 | 1 | 1 | 2 |
| 2001 | 0 | 1 | 1 |
| 2002 | 0 | 6 | 6 |
| 2003 | 6 | 3 | 9 |
| 2004 | 7 | 5 | 12 |
| 2005 | 26 | 12 | 38 |
| 2006 | 25 | 11 | 36 |
| 2007 | 49 | 11 | 60 |
| 2008 | 41 | 16 | 57 |
| 2009 | 54 | 16 | 70 |
| 2010 | 43 | 6 | 49 |
| 2011 | 25 | 9 | 34 |
| 2012 | 37 | 16 | 53 |
| 2013 | 36 | 5 | 41 |
| 2014 | 31 | 13 | 44 |
| 2015 | 14 | 10 | 24 |
| 2016 | 19 | 14 | 33 |
| 2017 | 9 | 12 | 21 |
| 2018 | 4 | 17 | 21 |
| 2019 | 8 | 1 | 9 |
| 2020 | 4 | 4 | 8 |
Below are the most recent publications written about "Pattern Recognition, Automated" by people in Profiles.
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Computer vision for pattern detection in chromosome contact maps. Nat Commun. 2020 11 16; 11(1):5795.
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Revealing the structure of pharmacobehavioral space through motion sequencing. Nat Neurosci. 2020 11; 23(11):1433-1443.
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Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J Am Med Inform Assoc. 2020 05 01; 27(5):700-708.
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Hepatobiliary MRI Contrast Agents: Pattern Recognition Approach to Pediatric Focal Hepatic Lesions. AJR Am J Roentgenol. 2020 05; 214(5):976-986.
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Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data. AMIA Annu Symp Proc. 2019; 2019:408-417.
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Blind method for discovering number of clusters in multidimensional datasets by regression on linkage hierarchies generated from random data. PLoS One. 2020; 15(1):e0227788.
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Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners. Neuroimage. 2020 04 15; 210:116563.
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Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. Pac Symp Biocomput. 2020; 25:19-30.
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Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron. 2020 01 22; 105(2):246-259.e8.
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Test-retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network. J Neurosci Methods. 2020 01 15; 330:108451.