algorithm

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algorithm

 [al´go-rithm]
1. a series of algebraic equations.
2. a logical progression that is programmed for a computer.
3. a model for making decisions.
Algorithm. Model of a decision algorithm. ACC/AHA Guidelines for the Management of Patients with Unstable Angina and Non-ST Segment Elevation Myocardial Infarction. JACC 2000, 36: 970-1062. Copyright 2000, by the American College of Cardiology and American Heart Association. Permission granted for one time use. Further reproduction is not permitted without permission of the ACC/AHA.

al·go·rithm

(al'gō-ridhm),
A systematic process consisting of an ordered sequence of steps, each step depending on the outcome of the previous one. In clinical medicine, a step-by-step protocol for management of a health care problem; in computed tomography, the formulas used to calculate the final image from the transmitted x-ray data.
[Mediev. L. algorismus, after Muhammad ibn-Musa al-Khwarizmi, Arabian mathematician, + G. arithmos, number]

algorithm

/al·go·rithm/ (al´go-rith'm)
1. a step-by-step method of solving a problem or making decisions, as in making a diagnosis.
2. an established mechanical procedure for solving certain mathematical problems.

algorithm

[al′gərith′əm]
1 a step-by-step procedure for the solution to a problem by a computer, using specific mathematical or logical operations. Compare heuristic.
2 an explicit protocol with well-defined rules to be followed in solving a health care problem.

algorithm

(1) A sequential procedure for solving a mathematical problem.
(2) A step-by-step procedure for reaching a decision when choosing among multiple alternative options, linked to each other by a decision tree.

algorithm

Decision-making A logical set of rules for solving a specific problem, which assumes that all of the data is objective, that there are a finite number of solutions to the problem, and that there are logical steps that must be performed to arrive at each of those solutions NIHspeak A step-by-step procedure for solving a problem; a formula. See Back-propagation, Critical pathway, Genetic algorithm, Risk of ovarian cancer algorithm.

al·go·rithm

(al'gŏr-idhm)
1. A process consisting of steps, each depending on the outcome of the previous one.
2. clinical medicine A step-by-step protocol for management of a health care problem.
3. computed tomography The formulas used for calculation of the final image from the x-ray transmission data.
[Mediev. L. algorismus, after Muhammad ibn-Musa al-Khwarizmi, Persian mathematician, + G. arithmos, number]

al·go·rithm

(al'gŏr-idhm)
A systematic process consisting of an ordered sequence of steps, each step depending on the outcome of the previous one.
[Mediev. L. algorismus, after Muhammad ibn-Musa al-Khwarizmi, Persian mathematician, + G. arithmos, number]

algorithm

a set of rules designed to solve a specific problem by proceeding through a series of prearranged, logical steps. Originally referred to purely mathematical problems, now used in a wider sphere, e.g. to solve diagnostic problems. Often depicted in the form of a box and line diagram which sets out the logic of the procedure or program.

diagnostic algorithm
mapping of the logical steps to be taken in eliminating potential diagnoses which do not match clinical signs or pathological findings and arranging possible diagnoses in order of probability.
References in periodicals archive ?
When convergence speed and tracking capability are crucial to the function, RVSS algorithm will always be a superior alternative than the other algorithms.
Furthermore, an execution time comparison between three different GCD algorithms (namely: Euclidean, binary, plus-minus) was analyzed by T.
Conclusions: The comparison data and graph shows that the hybrid algorithm of KMP and BM algorithms KMPBS algorithm improves the matching efficiency comparing with its parent algorithm.
Different from other algorithms, the signal evolution model is not assumed known and all DOAs will change between two consecutive snapshots.
We analyzed the usage of other tree search algorithms that could help us in solving some routing issues with possible upgrade or new routing protocol.
Cryptographically strong algorithms, however, share an Achilles' heel with the other pseudorandom number generators.
This test run, reported in the March 2003 issue of Bioinformatics, showed that KL clustering performed better at sorting microarray data than the standard method of hierarchical clustering, which uses a different algorithm to measure the similarity of genes.
An inter-comparison was performed with algorithms generated at the National Institute of Standards and Technology (NIST).
Part 2 involves the history of algorithms in mathematics.
The majority of the algorithms were based on the pseudocode in Algorithm S, which stores the sample in the set S.

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