Kao, Jui HungJui HungKaoLin, Ro TingRo TingLinLI-MIN HSUWang, Tse ChunTse ChunWang2023-04-172023-04-172018-01-01978981103186118761100https://scholars.lib.ntu.edu.tw/handle/123456789/630211This study has several segments: reviewing and collecting the OHCA patients with Registry Data of New Taipei city from 2010 to 2011: analyzing and appling International Utestein formula standards for data extraction; using regression analysis to search for the relationship between the variations and OHCA 2 h survival rate; appliing OHCA modeling to identify risk factors coefficient; using Apriori to analize the association rules, and adapting decision tree to create a Risk Decision Model. The correlation chronic diseases: Heart Disease, Diabetes Disease, and Hypertensive Disease have a significant correction on OHCA 2 h survival risk factors. Meanwhile, senior citizens have had high risk could not be revive form standard emergency measure. OHCA Decision tree model helped EMDand rescue units to allocate pre-hospital medical resources and contributes to an accurate clinical quality assessments to assist researchers to analyze medical policy for different OHCA patients.[SDGs]SDG3conference paper10.1007/978-981-10-3187-8_782-s2.0-85031403433https://api.elsevier.com/content/abstract/scopus_id/85031403433