Information technology in rescue knowledge learning system

Usually, people do not have sufficient knowledge for emergency rescue. Furthermore, they panic when facing emergency situations. It might delay the first aid help. On the other hand, the insufficient knowledge of first aid could cause the unnecessary regret. In order to cope with the above problems, this study constructs a mobile emergency rescue training system which helps users obtain relevant disease information and find suitable medical expert according to the input symptoms terms. With the implementation of this system, authors wish to improve learnerspsila emergency rescue knowledge and to provide an emergency rescue training platform for first aid personnel. Except for the medical personnel, people rarely have the opportunity to access to the rescue knowledge. The design of this study is relatively simple and allows learners to accomplish diseases or injuries searching by inputting the observed symptoms. Term frequency and inverse document frequency are applied for the information retrieval. After searching, we can learn and follow the first-aid instructions or ask for the expertspsila opinions through the system.