Probabilistic Modeling of a Syndrome.
Abstract
We propose a probabilistic methodology for deducing a syndrome or syndromes (possibly induced by chemical/biological agents) associated with a large number of people from certain geographic areas that have well-established diagnoses and symptoms. Here, using the finite element method and the databases of symptoms and diagnoses, for each geographic area an analytical probability distribution function is established, which gives a probability that a person has a certain number of symptoms/diagnoses. This, in turn, allows us to write down an analytic expression for the symptoms/diagnoses density from which, with the help of databases, one deduces the overall most numerous symptoms and diagnoses; as such, they define the syndrome for the particular geographic area. Now, comparing the syndromes to each other, one can see to what extent geography, and what is on it, affects the syndromes associated with different geographic areas.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1996
- Accession Number
- ADA319927
Entities
People
- Josip Z. Soln
Organizations
- United States Army Research Laboratory