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Results for “Medical Informatics Computing”

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The synergism of Health Information Science/Health Informatics.

The purpose of this paper is threefold: to review the status of Health Information Science (Health Informatics) as reported in the literature; to suggest a taxonomy to integrate the many varied concepts being discussed under the rubric of Health Information Science; and to propose a framework into which research can be classified and potential research hypotheses generated. It is suggested that such a framework is needed if generalizations are to be made to the end that the knowledge produced from research efforts may be cumulative with that from other studies. A framework for research is needed if the field is to become an established academic discipline; whether or not it takes on the mantel of a "science" is another matter.

Humans↗

Laboratory medicine in the age of information.

Information systems in laboratory medicine reflect and respond to the major changes now taking place in health care. This fruitful and practical area for medical information science encompasses problems in medical information science, shop floor control and issues in clinical behavior.

Clinical Laboratory Information Systems↗

Use of genetic algorithms to solve biomedical problems.

Many problems in the biomedical sciences can be formulated as searches in some appropriate space. The genetic algorithm offers a domain-independent approach to searching that is often able to provide good answers to questions with difficult search spaces. This paper discusses when to use this genetically inspired approach, how to model problems as searches, how to define appropriate spaces, representations, and fitness functions, and how to implement a program using a genetic algorithm.

Algorithms↗

A trip down under.

Explore the source record for details and available documents.

Australia↗