"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,
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Year | Major Topic | Minor Topic | Total |
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1999 | 2 | 0 | 2 |
2003 | 0 | 1 | 1 |
2006 | 0 | 1 | 1 |
2007 | 1 | 1 | 2 |
2011 | 0 | 1 | 1 |
2014 | 0 | 1 | 1 |
2015 | 0 | 1 | 1 |
2016 | 0 | 2 | 2 |
2017 | 0 | 1 | 1 |
2018 | 0 | 2 | 2 |
2019 | 0 | 1 | 1 |
2020 | 0 | 1 | 1 |
2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Decision Trees" by people in Profiles.
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Heredia FL, Roche-Lima A, Par?s-Matos EI. A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers. PLoS Comput Biol. 2021 08; 17(8):e1009247.
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Okere AN, Sanogo V, Alqhtani H, Diaby V. Identification of risk factors of 30-day readmission and 180-day in-hospital mortality, and its corresponding relative importance in patients with Ischemic heart disease: a machine learning approach. Expert Rev Pharmacoecon Outcomes Res. 2021 Oct; 21(5):1043-1048.
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Herman PM, Hurwitz EL, Shekelle PG, Whitley MD, Coulter ID. Clinical Scenarios for Which Spinal Mobilization and Manipulation Are Considered by an Expert Panel to be Inappropriate (and Appropriate) for Patients With Chronic Low Back Pain. Med Care. 2019 05; 57(5):391-398.
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Okere AN, Ezendu K, Berthe A, Diaby V. An Evaluation of the Cost-effectiveness of Comprehensive MTM Integrated with Point-of-Care Phenotypic and Genetic Testing for U.S. Elderly Patients After Percutaneous Coronary Intervention. J Manag Care Spec Pharm. 2018 Feb; 24(2):142-152.
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Kar S, Roy K, Leszczynski J. Applicability Domain: A Step Toward Confident Predictions and Decidability for QSAR Modeling. Methods Mol Biol. 2018; 1800:141-169.
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Piccolo V, Moscarella E, Lallas A, Alfano R, Ferrara G, Argenziano G. MELTUMP: how to manage these lesions in the clinical routine. G Ital Dermatol Venereol. 2017 Jun; 152(3):266-269.
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Boulin M, Diaby V, Tannenbaum C. Preventing Unnecessary Costs of Drug-Induced Hypoglycemia in Older Adults with Type 2 Diabetes in the United States and Canada. PLoS One. 2016; 11(9):e0162951.
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Farmer MM, Rubenstein LV, Sherbourne CD, Huynh A, Chu K, Lam CA, Fickel JJ, Lee ML, Metzger ME, Verchinina L, Post EP, Chaney EF. Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data. J Gen Intern Med. 2016 Apr; 31 Suppl 1:36-45.
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Yamasato K, Kaneshiro B, Salcedo J. Neuraxial blockade for external cephalic version: Cost analysis. J Obstet Gynaecol Res. 2015 Jul; 41(7):1023-31.
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Herzer KR, Niessen L, Constenla DO, Ward WJ, Pronovost PJ. Cost-effectiveness of a quality improvement programme to reduce central line-associated bloodstream infections in intensive care units in the USA. BMJ Open. 2014 Sep 25; 4(9):e006065.