Automatic computation of genetic risk

Author

Pathak, Dhiraj K. ; Perlin, Mark W.

Author_Institution

Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

1994

fDate

1-4 Mar 1994

Firstpage

164

Lastpage

170

Abstract

Describes a system to automatically compute genetic risks. To compute genetic risk, genetic counselors consider a variety of data, including family history, disease characteristics and DNA information, within a Bayesian inference framework. However, to manually process all the information is an error-prone and tedious task. Our system provides an automation of this task. It accepts as input the case data and the specification of the risk assessment task. The output of the system is the risk value of interest. The design of the system is based on a blackboard architecture. We describe the knowledge sources making up the system and an illustrative example of the use of the system do compute genetic risks

Keywords

Bayes methods; DNA; blackboard architecture; cellular biophysics; inference mechanisms; medical diagnostic computing; medical expert systems; uncertainty handling; Bayesian inference; DNA information; Lisp; artificial intelligence; automatic computation; blackboard architecture; case data; diagnostic computations; disease characteristics; family history; genetic counselors; genetic diseases; genetic risk; knowledge sources; molecular genetics; risk assessment task specification; Artificial intelligence; Automation; Bayesian methods; Biological cells; DNA computing; Diseases; Genetic mutations; History; Risk management; Sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1994., Proceedings of the Tenth Conference on

Conference_Location

San Antonia, TX

Print_ISBN

0-8186-5550-X

Type

conf

DOI

10.1109/CAIA.1994.323678

Filename

323678