The very key element in quality of nursing care is individualized nursing care. Individual differences among patients in terms of their health, illness, social classes and cultural background which lead to different n...The very key element in quality of nursing care is individualized nursing care. Individual differences among patients in terms of their health, illness, social classes and cultural background which lead to different needs emphasize on providing individualized care. And it is strongly related to postoperative care satisfaction. In fact, it tailored nm,ning activities with unique peculiarity of each patient. Actually, it changes all standardized nursing procedures and activities. We aimed to look into the differences between those two types of nursing application in postanesthesia care unit （PACU）, affect postoperative care satisfaction in the research. Methods： We conducted a prospective control study that included 325 patients ,randomly divided into two groups： Individualized nursing care group and ordinary nursing care group, undergoing general anesthesia. The 2 groups of patients were similar in respect to gender distribution, age, and type of surgery and had been admitted into the PACU after elective surgery. Data was collected by interviewing with patients using Satisfaction Questionnaire （North Health Service Hospital Consumer Assessment Works by and service systems （H C A H P S） in patients over Meaning of the questionnaire Chinese Translation Version ） , after assessing its content validity and reliability with Chronbach＇s alpha method. Using SPSS ver. 17 to analysis data .Results： General information on the two groups were no statistically significant differences （P〉 0. 05）. Individualized nursing care group （98.2%） compared with the ordinary nursing care group satisfaction （92%） significantly increased （P 〈0. 01）. Conclusions： Deployment of individualized nursing care in PACU can significantly improve postoperative satisfaction compared to ordinary nursing care.展开更多
ANN （artificial neural network） is a technique successfully employed in many applications on several research fields. An appropriate configuration for neural networks is a tedious task, and it often requires the kno...ANN （artificial neural network） is a technique successfully employed in many applications on several research fields. An appropriate configuration for neural networks is a tedious task, and it often requires the knowledge of an expert on the application. In this paper, a technique for automatic configuration for two types of neural networks is presented. The multilayer perceptron and recurrent Elman are the neural networks used here. The determination of optimal parameters for the neural network is formulated as an optimization problem, solved with the use of meta-heuristic MPCA （multiple particle collision algorithm）. The self-configuring networks are applied to perform data assimilation.展开更多
文摘The very key element in quality of nursing care is individualized nursing care. Individual differences among patients in terms of their health, illness, social classes and cultural background which lead to different needs emphasize on providing individualized care. And it is strongly related to postoperative care satisfaction. In fact, it tailored nm,ning activities with unique peculiarity of each patient. Actually, it changes all standardized nursing procedures and activities. We aimed to look into the differences between those two types of nursing application in postanesthesia care unit （PACU）, affect postoperative care satisfaction in the research. Methods： We conducted a prospective control study that included 325 patients ,randomly divided into two groups： Individualized nursing care group and ordinary nursing care group, undergoing general anesthesia. The 2 groups of patients were similar in respect to gender distribution, age, and type of surgery and had been admitted into the PACU after elective surgery. Data was collected by interviewing with patients using Satisfaction Questionnaire （North Health Service Hospital Consumer Assessment Works by and service systems （H C A H P S） in patients over Meaning of the questionnaire Chinese Translation Version ） , after assessing its content validity and reliability with Chronbach＇s alpha method. Using SPSS ver. 17 to analysis data .Results： General information on the two groups were no statistically significant differences （P〉 0. 05）. Individualized nursing care group （98.2%） compared with the ordinary nursing care group satisfaction （92%） significantly increased （P 〈0. 01）. Conclusions： Deployment of individualized nursing care in PACU can significantly improve postoperative satisfaction compared to ordinary nursing care.
文摘ANN （artificial neural network） is a technique successfully employed in many applications on several research fields. An appropriate configuration for neural networks is a tedious task, and it often requires the knowledge of an expert on the application. In this paper, a technique for automatic configuration for two types of neural networks is presented. The multilayer perceptron and recurrent Elman are the neural networks used here. The determination of optimal parameters for the neural network is formulated as an optimization problem, solved with the use of meta-heuristic MPCA （multiple particle collision algorithm）. The self-configuring networks are applied to perform data assimilation.
