 Drowning
"Drowning" 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.
Death that occurs as a result of anoxia or heart arrest, associated with immersion in liquid.
| Descriptor ID |
D004332
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| MeSH Number(s) |
C23.550.260.393 C26.304 N06.850.135.696
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Drowning".
Below are MeSH descriptors whose meaning is more specific than "Drowning".
This graph shows the total number of publications written about "Drowning" by people in UAMS Profiles by year, and whether "Drowning" 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 |
|---|
| 2023 | 1 | 0 | 1 | | 2021 | 1 | 0 | 1 | | 2019 | 1 | 0 | 1 | | 2012 | 1 | 0 | 1 | | 2010 | 1 | 0 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Drowning" by people in Profiles over the past ten years.
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Culp WC, Stevens TD, Davis P. Advanced airway management in drowning: Pre-hospital tracheal intubation as compared to supraglottic airway device. Resuscitation. 2024 06; 199:110179.
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Zhang J, Vieira DN, Cheng Q, Zhu Y, Deng K, Zhang J, Qin Z, Sun Q, Zhang T, Ma K, Zhang X, Huang P. DiatomNet v1.0: A novel approach for automatic diatom testing for drowning diagnosis in forensically biomedical application. Comput Methods Programs Biomed. 2023 Apr; 232:107434.
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Zhang J, Zhou Y, Vieira DN, Cao Y, Deng K, Cheng Q, Zhu Y, Zhang J, Qin Z, Ma K, Chen Y, Huang P. An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm. Int J Legal Med. 2021 May; 135(3):817-827.
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Zhou Y, Zhang J, Huang J, Deng K, Zhang J, Qin Z, Wang Z, Zhang X, Tuo Y, Chen L, Chen Y, Huang P. Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm. Forensic Sci Int. 2019 Sep; 302:109922.
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