A practical study on the relation of out-of-hospital cardiac arrest and chronic diseases
Journal
Lecture Notes in Electrical Engineering
Journal Volume
422
ISBN
9789811031861
Date Issued
2018-01-01
Author(s)
Abstract
This 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
Type
conference paper