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]

algorithm

written set of structured and focused questions, the answers to which form a protocol for management of specific health care problems

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,

n an explicit protocol with well-defined rules to be followed in solving a complex problem.

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 ?
Wallace Hermans, the Executive Vice President for Global Solution Service of Algorithmics said: "On our behalf, we are also extremely happy to have Landen Options and Futures which we know as one of the most efficient brokerage firms, to use our risk solution service.
Country: Canada, Sector: Computer SoftwareTarget: Algorithmics IncBuyer: International Business Machines Corporation (IBM)Deal size in USD: 380.
Upon closing of the acquisition, which is subject to applicable regulatory clearances and other customary closing conditions, approximately 900 Algorithmics employees are expected to join IBM's Software Group.
Thanks to this strategic acquisition, Algorithmics will be able to expand its existing product offering of insurance company and pension fund solutions.
According to Algorithmics, the deal will have no material impact on the company's 2010s results and financial position.
The acquisition is expected to enable Algorithmics to broaden its expertise and range of insurance company and pension fund solutions, in line with its development strategy in this market.
IT services provider IBM (NYSE:IBM) and Algorithmics, a provider of enterprise risk solutions, announced on Tuesday (15 January) they will deliver and implement a new portfolio construction and risk management solution at Guotai Junan Securities, a securities house in China, for security trading and fund management.
According to the company, the combined IBM and Algorithmics solution is expected to assist Guotai Junan Securities in forecasting risks, as well as conducting stress and scenario testing, to help ensure risks are managed in a controlled manner.
In a separate announcement, IBM and Algorithmics announced on Tuesday (15 January) they are forming an alliance in China to continue developing end-to-end solutions covering market risk, counterparty risk and collateral management.
TORONTO & LONDON & NEW YORK -- Algorithmics, the leading provider of risk solutions, and Markov Processes International LLC (MPI), the leader in quantitative manager analysis, today announced a partnership that will allow them to offer a comprehensive manager and portfolio risk monitoring solution for financial institutions that are primarily buyers of funds (mutual funds, separate accounts, hedge funds).
Algorithmics and MPI will work towards integrating their products to provide an advanced solution that provides fund buyers with insight into the risk characteristics of both managers and portfolios.
He sets out algorithmic, analysis, and system patterns that can be used to take better advantage of the new norm of parallelism.

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