作者: Angeles Manjarrés Riesco , Rafael Martı́nez Tomás , José Mira Mira
DOI: 10.1016/S0933-3657(99)00029-9
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摘要: In current medical research, a growing interest can be observed in the definition of global therapy-evaluation framework which integrates considerations such as patients preferences and quality-of-life results. this article, we propose use research results domain source knowledge design support systems for therapy decision analysis, particular with view to application oncology. We discuss incorporation these therapy-assessment methods involved solution generic task, described context AI software development methodologies CommonKADS. The goal task is identify ideal therapy, given patient, accordance set objectives diverse nature. assessment applied are based either on data obtained from statistics or specific idiosyncrasies each identified their responses suite psychological tests. analysis emphasise importance, methodological perspective, using rigorous approach modelling ontologies domain-specific data. To aim make extensive semi-formal object oriented notation UML describe level.