Objective: We aim to improve the decision-making process of nursing evaluation, and the purpose of this paper was to introduce nursing outcome classifications based on standardized nursing language, as well as build a comprehensive nursing evaluation decision-making system model based on an artificial neural network and fuzzy comprehensive evaluations.
Methods: Based on the principle and method of the decision support system (DSS), this paper proposed a framework of DSS and developed an intelligent nursing decision support system which integrates expert systems, data, models and knowledge.
Results: Taking cancer patients as examples, based on the analysis and comparison of cancer stressors and their frequency of occurrence, this paper found that the 5 major factors for cancer patients' stress events were lack of privacy, attitude of the medical workers, unfamiliar medical workers and uncomfortable temperature in wards.