Bayes in Medicine

What is Bayesian Analysis and where did it come from? Sometimes referred to as Bayesian Inference in Mathematics, Bayes’ is a method of statistical inference centered around population information, variables, and evidence to determine the probability of a particular event occurring. In essence, it is the mathematical calculation of how likely something is to happen based on the evidence.  The creator of the method was Thomas Bayes –  an 18th century English statistician and Presbyterian minister. Although he did not publish his mathematical theories during his life, the publication of his work was post-humously carried out by another famous non-conformist, Richard Price.  In his life, Thomas Bayes defended Sir Issac Newton’s calculus and explored the concept of probability with a passion, challenging the work of domestic and French contemporaries.  If he was alive today, Bayes might not believe the impact of his work – and as a minister, he would surely frown over gambling applications using his theorem…   How does GIDEON use Bayes’? Bayesian analysis requires data to be reliable and accurate, which is why GIDEON is uniquely positioned to take advantage of the formula and put millions of data points to use! GIDEON applies this system to generate a list of likely Infectious Diseases based on the patient’s location, recent travel, and clinical findings. It might sound simple, but with over 200 signs and symptoms for over 360 diseases in 230+ countries...
Source: GIDEON blog - Category: Databases & Libraries Authors: Tags: Epidemiology News Product Source Type: blogs