• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.10
• /
• pp.317-322
• /
• 2020

Due to the development of artificial intelligence, it is used as a disaster response support system in the field of disaster. Disasters can occur anywhere, anytime. In the event of a disaster, there are four types of reports: fire, rescue, emergency, and other call. Disaster response according to the 119 call also responds differently depending on the type and situation. In this paper, 1280 data set of 119 calls were tested with 3 classes of SVM, NB, k-NN, DT, SGD, and RF situation classification algorithms using a training data set. Classification performance showed the highest performance of 92% and minimum of 77%. In the future, it is necessary to secure an effective data set by disaster in various fields to study disaster response.

• Journal of dental hygiene science
• /
• v.17 no.4
• /
• pp.341-351
• /
• 2017

This study aimed to investigate the medically inclined college students' knowledge, attitude, and compliance on the preventive behaviors of the Middle East respiratory syndrome (MERS). A cross-sectional study was conducted on 251 medically inclined college students in Jeonju Kijeon College from June 8 to 13, 2015, using a scale on the knowledge and attitude toward MERS and a structured questionnaire. The t-test, analysis of variance, and Pearson correlation coefficient were used to analyze the data. The participants consisted of 46.6% college students majoring in dental hygiene, 30.7% in clinical pathology, and 22.7% in emergency rescue, and 69.7% of them had been educated on MERS prevention. This study revealed that students who received MERS prevention training (t=3.457, p=0.001) and female students (t=-2.945, p=0.005) had more knowledge on MERS, while students from the dental hygiene department (F=8.048, p<0.001) and those in their third year (F=3.978, p=0.020) showed a more positive attitude toward MERS. Regarding the correlation between knowledge, attitude, fear of infection and compliance on the preventive behaviors, students were more knowledgeable (r=0.133, p=0.036), presented a more positive attitude (r=0.158, p=0.012) and had more fear of infection (r=0.312, p<0.001), were more likely to comply with the preventive measures. For an effective prevention of MERS, a newly found infectious disease, we suggest that medically inclined college students must improve their knowledge of and have a positive attitude toward MERS infection management at a medical institution in compliance with the MERS infection preventive behaviors. Furthermore, this study shows that an infection management education program should be developed, so that which students could learn about the causes, dissemination routes, and preventive methods of infectious diseases, including the newly discovered ones, prior to their clinical training at a medical institution.