decision tree

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Related to Classification tree: Decision tree

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 ?
Lawrence R, Bunn A, Powell S, Zambon M (2004) Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis.
After a classification tree is constructed, it is essential to validate its use by estimating the probability that the predicted class for any data is correct.
Regression trees when the response variable is numerical, or classification trees when it is categorical.
Classification tree analysis is a nonparametric method commonly used in data mining where a set of independent variables are used to predict membership of observations in a given class of the dependent variable.
In conclusion, this study applied the classification tree (CART) technique, an algorithmic model that has gained increasing prominence, to a small data set with a hope that such application would draw important implications for statistical modeling within the teacher education community.
We compared and contrasted our results with those obtained using standard logistic regression and classification tree methods, including multifactor dimensionality reduction.
In the classification tree system, one performs a set of sequential binary splits of the data.
Malaria in central Vietnam: analysis of risk factors by multivariate analysis and classification tree models.
An advantage of using decision trees over neural networks is their ability to calculate the relative importance of input variables based on their predictive power and overall contribution to the classification tree (Breiman, Friedman, Olshen & Stone, 1984).

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