113. Medical Decision Making by using the NET theory.
نویسندگان
چکیده
منابع مشابه
Medical Decision Making using
Bayesian Belief Networks (bbns) play a relevant role in the eld of Artiicial Intelligence in Medicine and they have been successfully applied to a wide variety of medical domains. An appealing character of bbns is that they easily extend into a complete decision-theoretic formalism known as Innuence Diagrams (ids). Unfortunately, bbns and ids require a large amount of information that is not al...
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WHEN A PHYSICIAN GATHERS A PATIENT’S history, runs diagnostic tests and performs an evaluation, he or she is performing medicine’s most fundamental act: medical decision-making. Patient care is all about physicians bringing their education, training and personal experience to bear with a particular patient and his or her particular symptoms, disease or injury. Frequently, the course of treatmen...
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As the clinical picture of a patient evolves over time, more information becomes available. Certain procedure require time to perform, causing delay between the time when the tests are ordered and when the results are available. Furthermore, as the patient's condition changes over time, serial measurements can be made. The availability of more data allows a more accurate assessment of the patie...
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Analysis of medical students' formulations and replies to clinical problems indicates difficulty in deciding on the nature and organization of treatment. A programme describing a problem-solving approach was devised, and students taught in this way were shown to be significantly more able to formulate organized treatment plans with more precise aims. It is suggested that problem-solving methods...
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the term business intelligence (bi) can refer to various computerized methods and processes of turning data into information and then into knowledge, which is eventually used to enhance organizational decision making. in the last decade, business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizati...
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ژورنال
عنوان ژورنال: Japanese Journal of Radiological Technology
سال: 1993
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.kj00003324701