A user-centered approach for the design and implementation of KDD-based DSS: A case study in the healthcare domain

Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations

“…These activities help the users achieve their tasks of handling patient temporal data and dynamic decision-making to fight against NI. Table 8 shows that the overall performance is better than the results obtained in the two previous versions of our system presented in [3] and [54].…”

“…In fact, this topic has already been presented and discussed [3] and [54], and provided various applications to calculate the NI occurrence percentage using different data mining techniques. Although the preliminary results were promising, the cognitive load exerted by the physician to analyze, understand and take the appropriate decision is very high.…”

Using visualization techniques in knowledge discovery process for decision making

“…The DSS and KDD are highly interactive [4], the HCI must be integrated in the KDD-based DSS stages. Especially in the data preparation, mining and interpretation in order to improve the human confidence in the knowledge discovered and then the decisional solutions generated by the DSS.…”

“…The researchers in the KDD field have indicated that the use of interactive graphical methods can increase the Human Computer Interaction (HCI) [12] [15] and [13] in the KDD process. HCI plays a fundamental role in the DSS [4].…”

Dynamic Decision Support System Based on Bayesian Networks

“…These infections are contracted during the hospitalization. 1 The term "nosocomial" comes from the Greek word "nosokomeion" to indicate the hospital From this point of view, a KDD-based MDSS aims at helping the physicians, users of the system, to especially understand and prevent the NI. The MDSS for the fight against NI require temporal data analysis.…”