Abstract: An embodiment includes retrieving performance monitor data from an I/O processor. A performance monitoring driver coupled to a performance monitoring unit may be registered as a private driver with a real time operating system of the I/O processor. Events within the I/O processor may be selected on which to gather data. The selected events may be sent as a message request to the real time operating system. The message request may be translated into the appropriate parameters based on a set of private group parameters that may be accessible by the real time operating system. The message request may be sent as a translated request to the performance monitoring unit. The pieces of data requested by the translated request may be returned to the performance monitoring driver. The pieces of data then may be sent to a location specified in the message request.

Abstract: An interactive multimodal explanation generation system for a computer-aided decision support tool employing an inference system is disclosed. The explanation generation system includes a user interface enhanced with a reasoning component that allows a user to ask, using mouse clicks and natural language text, the system questions about her health and about how the system is constructed. The explanation generation system produces interactive multimodal explanations (using textual displays, graphics, animation, or a combination of these) for the results generated by the inference system in the diagnostic support tool.

Abstract: A method of diagnosing breast cancer by generating an inference system having a predetermined number of nodes organized into a tree of cliques. After the inference system is initialized, an evidence vector is created and initialized. The evidence vector is then customized or updated by receiving patient-specific evidence. This updated evidence vector is then propagated through the inference system to determine a breast cancer diagnosis. While determine the breast cancer diagnosis, the system can estimate the influence of each piece of patient-specific evidence on the diagnosis. Thus, the system is capable of not only determining and reporting a breast cancer diagnosis based upon patient-specific evidence, but also determining and reporting the estimated influence of each piece of patient-specific evidence considered.