The application of integrated knowledge-based systems for the Biomedical Risk Assessment Intelligent Network (BRAIN)

Owe of NASA"s goals for long duration space flight is to maintain acceptable levels of crew health, safety, and pdommm. One way of meeting this goal is through the Biomedical Risk Assessment Intelligent Network an hiinategrated network of both hman and comp as an advisor to fight by asessing the risk of in-flight biomedical prob This paper &sdbes the joint effort among various NASA Risk Assessment (TDRA) prototype. The implementation i d aspects of: (1) howledge acquisilion. (2) integration of IDRA components, (3) use of expert systems to automate the biomedical pdicfion process, (4) development of a user-friendly interface, and (5) integration of the IDRA prototype and B e r d s Casuwtemeasures Intelligent System (ExerCISys). Because the C Language, CLIPS (the C Language e[ntewt& Muct ion System), and the X-Window System were portable and easily integrated, they were chosen as the mls for &e initial IDRA prototype. The feasibility was tested by developing an IDRA prototyge that the indlividuail risk of influenza. The application of knowledge-based systems to risk assessment is of great vdue to the mdical technology industry.