A bi-level interactive decision support framework to identify data mining-oriented electronic health record architectures
We develop ISAW model from a crisp individual single-level environment to a fuzzy group bi-level environment. We utilize this bi-level ISAW model to reach medical decision makers to a consensus on a data mining-oriented EHR architecture. We consider fuzzy logic and fuzzy sets to represent ambiguous, uncertain or imprecise information.
data mining-oriented electronic health record architecture interactive decision support systems bi-level simple additive weighting model