Abstract
Iterative conceptual modeling techniques were used to abstract a computer model of emergency department patient characteristics from a medical dataset. This research effort focused on unbalanced medical data then developed and defined a simulation of cardiac patient survival. The approach focused on desired real-world outcomes for the model. Specifically, iterative conceptual modeling ensured alignment between real-world needs and model development. Model validity was enhanced and the problem of unbalanced medical data was discovered and addressed through iterative prototyping. Overall, the effort approach reduced Type II Errors and improved simulation accuracy. This research yielded tangible benefits in an emergency department cardiac patient study where each improvement in accuracy can directly impact life and death decisions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
