decision tree

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de·ci·sion tree

(dē-sizh'ŭn trē),
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

decision tree

a systematic method of managing a problem by graphically organizing the probabilities of outcomes of alternative treatments. At each decision node or branch a possible alternative is matched with its relative worth, quality of life, freedom from disability, and other factors on which a prognosis may be based.

decision tree

Decision-making A schematic representation of the major steps taken in a clinical decision algorithm; a DT begins with the statement of a clinical problem that can be followed along branches, based on the presence or absence of certain objective features, and eventually arrive at a conclusion

de·ci·sion tree

(dĕ-sizh'ŭn trē)
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

de·ci·sion tree

(dĕ-sizh'ŭn trē)
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

decision tree,

n an algorithm or a formal stepwise process used in coming to a conclusion or making a judgment.

decision

a choice between a number of possible answers to a question.

decision analysis
a systematic approach to decision making under conditions of imperfect knowledge; a practical application of probability theory. Used to calculate the optimal strategy from among a series of alternative strategies. May be expressed graphically in the form of a decision tree (below).
decision making
making a decision can be done in three principal ways and many variations and mixtures of the methods: (1) rote, the decision is made on the basis of a set of rules and no selectivity is required; (2) intuitive, decisions are made on the basis of cerebrally stored information and reasoning systems which permit a fast response. The increasing complexity of veterinary clinical questions increases the probability of error; (3) decision analysis, a means of solving complicated problems by including all of the factors that could possibly affect the outcome of the analysis in a series of sequential questions. This gives each of the factors an opportunity of affecting the outcome. The chance of error by omission can be eliminated but the process is prolonged.
decision theory
the theoretical basis for decision analysis.
decision tree
a diagrammatic representation of the possible outcomes and events used in decision analysis. The questions to be asked in an analysis of a question are arranged as a series of nodes each with a yes and no branch, creating an arborization effect. The sequential steps proceed with each step depending on the decision made in the preceding step.

tree

1. an anatomical structure with branches resembling a tree.
2. in information science, a decision tree.

bronchial tree
the trachea, bronchi and successive branching generations of the respiratory passages.
tree daffodil
thevetiaperuviana.
decision tree
see decision tree.
tree diagram
see decision tree.
tree lupin
lupinusarboreus.
tree nettle
see urtica.
tree shrew
primitive arboreal mammal that some taxonomists place with the primates. Like squirrels in shape and size. Called also Tupaia spp.
tree snake
a number of colubrid snakes that lead an arboreal existence and practice falling from trees with their body spread out, earning the name of flying snake.
tree tobacco
nicotianaglauca.
tracheobronchial tree
the trachea, bronchi and their branching structures.
tree zamia
cycasarmstrongii, C. media.
References in periodicals archive ?
CONSERTING combines a method of data analysis called regression tree, which is a machine learning algorithm, with next-generation, whole-genome sequencing.
Zheng HF, Chen LD, Han XZ, Zhan XF, Ma Y (2009) Classification and regression tree (CART) for analysis of soybean yield variability among fields in Northeast China: The importance of phosphorus application rates under drought conditions.
Table 2: Performance of Classification Based on Claims Codes for Breast Imaging or Biopsy/FNA within Ninety Days or Classification and Regression Tree Analysis for Classifying Screening Mammograms as Normal versus Abnormal Assessed in Validation Half-Sample (N = 193,855) Claims Codes for Breast Performance Imaging or Biopsy CART Measures Estimate (95% CI) Estimate (95% CI) Sensitivity 74.
The regression tree algorithm involves two phases: tree growing and tree pruning.
Improving and enhancing the performance of classification and regression trees is a valuable question.
A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models, Expert Systems with Applications 29(1): 65-74.
Recursive partitioning, using the first- and second-semester college GPA response outcomes with the remaining variables except retention as explanatory variables, yielded two cross-validated regression trees.
A regression tree based on abundance and using distance from the Rio Grande and gravel substrate explained 25% of the variation in abundance of C.
Editorial Comment on: Classification of Male Lower Urinary Tract Symptoms Using Mathematical Modeling and a Regression Tree Algorithm of Noninvasive Near-Infrared Spectroscopy Parameters.
Key words: Alces alces, aerial surveys, boosted regression trees, cum [square root of f] rule, land cover types, Poisson regression, stratification.
MDR is a special case of the classification and regression tree (CART) model (Bastone et al.
We also performed nonlinear regression tree analysis (De'ath & Fabrieius 2000, De'ath 2002) on final cohort mortalities (n = 9), and progression of mortalities (36, 42, 45, and 48 mo, n = 36) by site and strain.