Mathematical Model for Disease Prediction: Feasibility Study of a Qualitative Model for Prediction of the Potential for Rocky Mountain Spotted Fever in the Western United States.
Abstract
By knowing enough about a disease process per se in humans and/or animals, and by knowing enough about a given place, it is possible to guess or to predict whether or not the disease will occur in the given place. The process of prediction will become increasingly accurate as one takes into account more and more of the factors which acutally determine or make possible the disease in question. The general scope of the research of the Disease Information System at the Walter Reed Army Institute of Research is to refine the process of prediction, to make explicit and understandable the methods by which the human expert does his predicting, and insofar as possible to automate the process, or at least to provide automated assistance to the human expert as he does his work.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1973
- Accession Number
- AD0771138
Entities
People
- Donald A. B. Lindberg
- John H. Long
- Lawrence C. Kingsland Iii
- Samuel J. Dwyer Iii
Organizations
- University of Missouri