"Decision Trees" 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.
A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).
| Descriptor ID |
D003663
|
| MeSH Number(s) |
G17.162.500
|
| Concept/Terms |
Decision Trees- Decision Trees
- Decision Tree
- Tree, Decision
- Trees, Decision
|
Below are MeSH descriptors whose meaning is more general than "Decision Trees".
Below are MeSH descriptors whose meaning is more specific than "Decision Trees".
This graph shows the total number of publications written about "Decision Trees" by people in this website by year, and whether "Decision Trees" 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 |
|---|
| 2002 | 0 | 1 | 1 |
| 2004 | 0 | 1 | 1 |
| 2007 | 0 | 1 | 1 |
| 2010 | 1 | 0 | 1 |
| 2011 | 0 | 2 | 2 |
| 2012 | 0 | 1 | 1 |
| 2014 | 0 | 1 | 1 |
| 2016 | 0 | 3 | 3 |
| 2017 | 1 | 22 | 23 |
| 2018 | 3 | 10 | 13 |
| 2019 | 1 | 10 | 11 |
| 2020 | 0 | 9 | 9 |
| 2021 | 1 | 3 | 4 |
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Below are the most recent publications written about "Decision Trees" by people in Profiles.
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Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients. BMC Infect Dis. 2021 Aug 09; 21(1):783.
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Risk of missing colorectal cancer with a COVID-adapted diagnostic pathway using quantitative faecal immunochemical testing. BJS Open. 2021 07 06; 5(4).
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Laboratory Predictors of COVID-19 Pneumonia in Patients with Mild to Moderate Symptoms. Lab Med. 2021 Jul 01; 52(4):e104-e114.
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Emerging and Re-emerging Infections in Children: COVID/ MIS-C, Zika, Ebola, Measles, Varicella, Pertussis ... Immunizations. Emerg Med Clin North Am. 2021 Aug; 39(3):453-465.
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Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees. Int J Environ Res Public Health. 2021 05 30; 18(11).
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Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques. Dis Markers. 2021; 2021:5522729.
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CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Br J Radiol. 2021 Jun 01; 94(1122):20201007.
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Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs. Comput Biol Med. 2021 05; 132:104335.
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Clinical prediction rule for SARS-CoV-2 infection from 116 U.S. emergency departments 2-22-2021. PLoS One. 2021; 16(3):e0248438.
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Assessing the likelihood of contracting COVID-19 disease based on a predictive tree model: A retrospective cohort study. PLoS One. 2021; 16(3):e0247995.