CONTEXT The World Health Organization (WHO) has developed a decision-making tool to be used by providers and clients during family planning visits to improve the quality of services. It is important to examine the tool's usability and its impact on counseling and decision-making processes during family planning consultations. METHODS Thirteen providers in Mexico City were videotaped with fami...

Bayesian Belief Networks (bbns) play a relevant role in the eld of Artiicial Intelligence in Medicine and they have been successfully applied to a wide variety of medical domains. An appealing character of bbns is that they easily extend into a complete decision-theoretic formalism known as Innuence Diagrams (ids). Unfortunately, bbns and ids require a large amount of information that is not al...

Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have been studied in operations research for decades. The recent incorporation of ideas from many areas of AI, including planning, probabilistic modeling, machine learning, and knowledge representation) have made these models much more widely applicable. I briefly survey recent advances within AI i...

This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Discretization Algorithm, to model a variety of clinical problems. In particular, the thesis demonstrates four novel applications of BN and dynamic discretization to clinical problems. Firstly, it demonstrates the flexibility of the Dynamic Discretization Algorithm in modeling existing medical knowledge using ...

each customer or consumer communicates with different markets with a specific decision-making style and these styles approximately remain constant over time. this research is done between tehran home appliance store customers with the aim of identifying the sproles and kendall’s model decision-making styles. sproles and kendall’s model has identified eight different decision-making styles, whic...

General multi-objective optimization methods are hard to obtain prior information, how to utilize prior information has been a challenge. This paper analyzes the characteristics of Bayesian decision-making based on maximum entropy principle and prior information, especially in case that how to effectively improve decision-making reliability in deficiency of reference samples. The paper exhibits...