Title : ( RA-CUSUM chart based on LR-fuzzy data )
Authors: Afsaneh Rezaeifar , Bahram Sadeghpour Gildeh , Gholam Reza Mohtashami Borzadaran ,Access to full-text not allowed by authors
Abstract
The cumulative sum chart is widely used in manufacturing processes, but in medical science and particularly for monitoring the performance of cardiac surgeon or a group of surgeons, the patients preoperative risk should be taken into account. So risk adjusted charting procedures gained attention. Risk-adjusted cumulative sum chart based on testing the odds of mortality was proposed in 2000, which takes the preoperative risk of patients into account. Since preoperative risk is vague and non-precise variable and the anesthesiologists after checking how many risk factors a patient has, determine the risk of mortality before the surgery as a linguistic term such as low, medium, high or others like that, it is better to be considered as a fuzzy number, which can be determined by using fuzzy logistic regression model. In this condition, we need a special chart to monitor the performance of surgeons based on these fuzzy data. In this paper we proposed RA-CUSUM chart based on LR-fuzzy data and then consider the conclusion on real data.
Keywords
, Preoperative risk, Monitoring surgical performance, Odds of mortality, RA-CUSUM control chart, Fuzzy logistic regression@inproceedings{paperid:1078407,
author = {Rezaeifar, Afsaneh and Sadeghpour Gildeh, Bahram and Mohtashami Borzadaran, Gholam Reza},
title = {RA-CUSUM chart based on LR-fuzzy data},
booktitle = {5th INTERNATIONAL RESEARCHERS, STATISTICIANS AND YOUNG STATISTICIANS CONGRESS},
year = {2019},
location = {کوش آداسی},
keywords = {Preoperative risk; Monitoring surgical performance;Odds of mortality; RA-CUSUM control chart; Fuzzy logistic regression},
}
%0 Conference Proceedings
%T RA-CUSUM chart based on LR-fuzzy data
%A Rezaeifar, Afsaneh
%A Sadeghpour Gildeh, Bahram
%A Mohtashami Borzadaran, Gholam Reza
%J 5th INTERNATIONAL RESEARCHERS, STATISTICIANS AND YOUNG STATISTICIANS CONGRESS
%D 2019