Titlebook: Computers and Control in Clinical Medicine; Ewart R. Carson,Derek G. Cramp Book 1985 Plenum Press, New York 1985 algorithms.artificial int

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Current Status of Modern Therapynd technology. Nowhere is this more apparent than in medicine. In this chapter some general ideas concerning the nature of such an approach will be outlined. It will be shown how the health care system can be viewed as a control problem, how the techniques of signal analysis and mathematical modelli

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https://doi.org/10.1007/BFb0011397isions for the diagnosis and management of an individual patient. The clinician may request investigations for reasons other than testing the patient’s presenting condition. He may be examining a selected group of apparently healthy subjects for the presence of undiagnosed disease — population scree

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https://doi.org/10.1007/BFb0011397st clinicians share. Monitoring is of greatest importance in physiologically unstable patients, when instantaneous values alone are not sufficient. In this monitoring environment the occurrence of a trend may signify a deteriorating condition, and need of therapy to reverse the trend. Alternatively,

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Lecture Notes in Earth Sciences the areas of medicine and health care. The need for such models is based on the realisation that neither individual nor societal problems can any longer be considered in isolation, because the manner in which particular solutions are sought affects, in general, much larger populations than those st

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https://doi.org/10.1007/978-981-97-7086-1ith a progressively wider application of quantitative methods to the modelling and analysis of physiological systems and many of the teaching tools available today have arisen through research of this kind. Accurate clinical measurement itself has become much easier with the increasing availability

Mercurial

https://doi.org/10.1007/978-981-97-7086-1 true of the clinical laboratory which can be regarded as an exemplar of what holds true for the wider health care system. These scientific and technological advances have transformed the clinical chemistry laboratory from being a highly labour intensive unit to one which is highly automated and cap

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Lecture Notes in Earth Sciencesch to investigation, diagnosis and treatment. As this chapter will focus on the use of pharmacokinetic and pharmacodynamic data in clinical decision making, investigation and diagnosis will receive little attention, and emphasis will be placed on relevant aspects of drug treatment.