 Decision Trees
"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
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| MeSH Number(s) |
G17.162.500
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| Concept/Terms |
Decision Trees- Decision Trees
- Decision Tree
- Tree, Decision
- Trees, Decision
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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 |
|---|
| 1996 | 0 | 1 | 1 | | 1997 | 1 | 0 | 1 | | 1998 | 0 | 3 | 3 | | 1999 | 0 | 1 | 1 | | 2000 | 1 | 0 | 1 | | 2001 | 0 | 1 | 1 | | 2002 | 1 | 0 | 1 | | 2004 | 0 | 4 | 4 | | 2005 | 0 | 2 | 2 | | 2006 | 0 | 1 | 1 | | 2008 | 0 | 1 | 1 | | 2010 | 1 | 2 | 3 | | 2011 | 0 | 4 | 4 | | 2012 | 0 | 6 | 6 | | 2013 | 0 | 2 | 2 | | 2015 | 0 | 4 | 4 | | 2016 | 0 | 3 | 3 | | 2018 | 0 | 2 | 2 | | 2019 | 1 | 3 | 4 | | 2020 | 0 | 3 | 3 | | 2021 | 0 | 3 | 3 | | 2022 | 0 | 3 | 3 | | 2023 | 0 | 3 | 3 |
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Below are the most recent publications written about "Decision Trees" by people in Profiles.
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Maal-Bared R, Brisolara K, Knight M, Mansfeldt C. To sample or not to sample: A governance-focused decision tree for wastewater service providers considering participation in wastewater-based epidemiology (WBE) in support of public health programs. Sci Total Environ. 2023 Dec 20; 905:167128.
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Mehrpour O, Hoyte C, Nakhaee S, Megarbane B, Goss F. Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. BMC Med Inform Decis Mak. 2023 06 01; 23(1):102.
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Mehrpour O, Saeedi F, Vohra V, Abdollahi J, Shirazi FM, Goss F. The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14?000 patients in the United States. Basic Clin Pharmacol Toxicol. 2023 Jul; 133(1):98-110.
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Mehrpour O, Saeedi F, Nakhaee S, Tavakkoli Khomeini F, Hadianfar A, Amirabadizadeh A, Hoyte C. Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. BMC Med Inform Decis Mak. 2023 04 06; 23(1):60.
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Mehrpour O, Saeedi F, Hoyte C, Goss F, Shirazi FM. Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System. BMC Pharmacol Toxicol. 2022 07 13; 23(1):49.
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Mehrpour O, Hoyte C, Goss F, Shirazi FM, Nakhaee S. Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases. Drug Chem Toxicol. 2023 Nov; 46(4):692-698.
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Jamshidi-Naeini Y, Brown AW, Mehta T, Glueck DH, Golzarri-Arroyo L, Muller KE, Tekwe CD, Allison DB. A practical decision tree to support editorial adjudication of submitted parallel cluster randomized controlled trials. Obesity (Silver Spring). 2022 03; 30(3):565-570.
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Rodrigo H, Beukes EW, Andersson G, Manchaiah V. Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach. J Med Internet Res. 2021 11 02; 23(11):e28999.
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Mehrpour O, Saeedi F, Hoyte C. Decision tree outcome prediction of acute acetaminophen exposure in the United States: A study of 30,000 cases from the National Poison Data System. Basic Clin Pharmacol Toxicol. 2022 Jan; 130(1):191-199.
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Kline JA, Camargo CA, Courtney DM, Kabrhel C, Nordenholz KE, Aufderheide T, Baugh JJ, Beiser DG, Bennett CL, Bledsoe J, Castillo E, Chisolm-Straker M, Goldberg EM, House H, House S, Jang T, Lim SC, Madsen TE, McCarthy DM, Meltzer A, Moore S, Newgard C, Pagenhardt J, Pettit KL, Pulia MS, Puskarich MA, Southerland LT, Sparks S, Turner-Lawrence D, Vrablik M, Wang A, Weekes AJ, Westafer L, Wilburn J. 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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