To the Editor One of the most significant demographic changes in our cotmtry is the increase in the elderly population. In China Mainland, the population aged 60 and older was 194 million in 2012, accounting for 14.3%...To the Editor One of the most significant demographic changes in our cotmtry is the increase in the elderly population. In China Mainland, the population aged 60 and older was 194 million in 2012, accounting for 14.3% of the total population. However, by 2053, it is estimated that the number of elderly will reach 487 million, representing 34.8% of the total population. Elderly patients represent an everncreasing populace in emergency medicine who often present with atypical signs and symptoms as well as eomorbidities that can complicate diagnoses and treatment.Ell The geographic factors and the developmental status of the country can influence the spectrum of common geriatric emergencies. Thus, this study presents a retrospective analysis of common causes of geriatric emergencies involving 9,628 elderly patients from Jan. 2008 to Dec. 2013 in an emergency department in Beijing, China.展开更多
Case-based reasoning is an AI technique in which the previous solutions are stored for future use. People are used to guiding themselves according to those routes that are stored in their memories and have been used b...Case-based reasoning is an AI technique in which the previous solutions are stored for future use. People are used to guiding themselves according to those routes that are stored in their memories and have been used by them before. It is just based on people＇s preference to familiar routes, which are gained through the study of the cognitive activities. We propose to apply the intelligent method based on the case reasoning to path planning. It is impossible for a case base to store all the solutions to all the shortest paths; therefore, part of them should be stored. However, which routes should be stored and which should not be？ How do we adapt the cases that have already been stored and how do we acquire the shortest route based on them？ All these issues need to be explained by integrating knowledge of the network on account of case-based reasoning techniques. This paper suggests the case-based reasoning in another point. This means finding some irreplaceable links on the basis of the complete analysis of the problems space, which are called the must_be_passed link between the source and destination. Merely compute the shortest path case from those best exit/entry nodes of the grids to the irreplaceable links, and then add them into the case base storing for future use. This method is based on case-based reasoning technique and completely considers the properties of the problem space. In addition to the use of knowledge of the natural grid in the route network, this method is more efficient than existing algorithms on computing efficiency.展开更多
文摘To the Editor One of the most significant demographic changes in our cotmtry is the increase in the elderly population. In China Mainland, the population aged 60 and older was 194 million in 2012, accounting for 14.3% of the total population. However, by 2053, it is estimated that the number of elderly will reach 487 million, representing 34.8% of the total population. Elderly patients represent an everncreasing populace in emergency medicine who often present with atypical signs and symptoms as well as eomorbidities that can complicate diagnoses and treatment.Ell The geographic factors and the developmental status of the country can influence the spectrum of common geriatric emergencies. Thus, this study presents a retrospective analysis of common causes of geriatric emergencies involving 9,628 elderly patients from Jan. 2008 to Dec. 2013 in an emergency department in Beijing, China.
基金Supported by the National 863 program of China (No. 2006AA12Z202)
文摘Case-based reasoning is an AI technique in which the previous solutions are stored for future use. People are used to guiding themselves according to those routes that are stored in their memories and have been used by them before. It is just based on people＇s preference to familiar routes, which are gained through the study of the cognitive activities. We propose to apply the intelligent method based on the case reasoning to path planning. It is impossible for a case base to store all the solutions to all the shortest paths; therefore, part of them should be stored. However, which routes should be stored and which should not be？ How do we adapt the cases that have already been stored and how do we acquire the shortest route based on them？ All these issues need to be explained by integrating knowledge of the network on account of case-based reasoning techniques. This paper suggests the case-based reasoning in another point. This means finding some irreplaceable links on the basis of the complete analysis of the problems space, which are called the must_be_passed link between the source and destination. Merely compute the shortest path case from those best exit/entry nodes of the grids to the irreplaceable links, and then add them into the case base storing for future use. This method is based on case-based reasoning technique and completely considers the properties of the problem space. In addition to the use of knowledge of the natural grid in the route network, this method is more efficient than existing algorithms on computing efficiency.
