Extended model for estimation of ambient temperature for postmortem interval (PMI) in Korea

One of the most important factors for calculating the accumulated degree days (ADD), which is used to estimate the postmortem interval (PMI) is the accurate estimation of the scene temperature after death. As the estimation method used up to now, they applied to the linear regression analysis using the temperature of the nearest weather station, but the prediction error becomes larger in the case that the ambient temperature do not follow the temperature of the station. In the present study applied we have more accurate methods such as the quadratic regression model and support vector machine (SVM) and have included weather factors such as wind capacity, wind speed and humidity, and regression method. Also, we investigate the optimal statistical method for estimating the ambient temperature in indoor and outdoor locations in Korea.