Add to ORKGGiven knowledge of a test\u27s sensitivity and specificity, physicians may use Bayes\u27 theorem to appropriately modify their initial assessment of the likelihood of disease subsequent to obtaining a positive or negative test result. A graphical representation of Bayes\u27 theorem was constructed in order to provide a simple tool to aid in the selection and interpretation of diagnostic tests
Some toxic exposures to drugs or other environmental chemicals may create an increased risk of futur...
Medicine is diagnosis, treatment and care. To diagnose is to consider the probability of the cause o...
One of the most interesting applications of the results of probability theory involves estimating un...
It is often the case that a clinician has diagnostic values such as sensitivity and specificity avai...
It is often the case that a clinician has diagnostic values such as sensitivity and specificity avai...
Physicians must frequently combine statistical information on prevalence of diseases and on medical ...
Establishing an accurate diagnosis is crucial in everyday clinical practice. It forms the starting p...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
Doctors caring for patients in their everyday clinical practice are faced with decisions that are so...
The role of Bayesian reasoning in medicine is explored from the perspective of the writings of Dr. L...
Interpretation of the result of a diagnostic test depends not only on the actual test result(s) but ...
This presentation summarizes an investigation into series of tests that indicate whether a subject i...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important me...
Some toxic exposures to drugs or other environmental chemicals may create an increased risk of futur...
Medicine is diagnosis, treatment and care. To diagnose is to consider the probability of the cause o...
One of the most interesting applications of the results of probability theory involves estimating un...
It is often the case that a clinician has diagnostic values such as sensitivity and specificity avai...
It is often the case that a clinician has diagnostic values such as sensitivity and specificity avai...
Physicians must frequently combine statistical information on prevalence of diseases and on medical ...
Establishing an accurate diagnosis is crucial in everyday clinical practice. It forms the starting p...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
Doctors caring for patients in their everyday clinical practice are faced with decisions that are so...
The role of Bayesian reasoning in medicine is explored from the perspective of the writings of Dr. L...
Interpretation of the result of a diagnostic test depends not only on the actual test result(s) but ...
This presentation summarizes an investigation into series of tests that indicate whether a subject i...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important me...
Some toxic exposures to drugs or other environmental chemicals may create an increased risk of futur...
Medicine is diagnosis, treatment and care. To diagnose is to consider the probability of the cause o...
One of the most interesting applications of the results of probability theory involves estimating un...