C. Helgason

  • Citations Per Year
Learn More
When dosing medication, such as warfarin, serial measures of efficacy 'goal INR' guide the clinician who must also consider the context of the patient in continued dosage. The decision is patient specific and cannot be extrapolated from group data based on probabilities. It is valuable to know the degree to which the warfarin caused the change in measured(More)
The fuzzy causation measure K has be defined using the fuzzy Subsethood theorem. It is a measure of the role of unknown factors in the determination of a change in cardinality of a fuzzy set. Methods: We measured the value of K for: (1) change in fuzzy set cardinality using low density and high density lipoprotein values in 10 patients with history of(More)
Background: Scientific medicine regards causality in terms of conditions of chance, and expressed in probabilities. The large double blind controlled randomized trial and Bayes' theorem are the foundation of Evidence Based Medicine. Evidence -Based Medicine has the purpose of bringing science to the bedside. Comparison between experimental subjects or real(More)
Background: The African American Anti platelet Stroke Prevention Study was a randomized, double-blind, investigator initiated multi-center trial of 1809 black men and women with recent non cardioembolic stroke. Its goal was to determine the efficacy and safety of two different anti platelet agents, aspirin versus ticlopidine, to prevent recurrent stroke,(More)
The fuzzy clinical causation measure K which gives a measure of how well the fuzzy unit hypercube of specified variables (dimensions) fits the actual causal matrix of the patient's physiology when a patient moves from clinical state A to clinical state B. K is derived from the fuzzy Subsethood Theorem as it applies to clinical causal effect and formal(More)
  • 1