TY - JOUR
T1 - Predicting risk factors for postoperative coronary artery bypass grafting using logistic regression and CHAID
AU - Nabilah, A.
AU - Lestari, D.
AU - Mardiyati, S.
AU - Devila, S.
N1 - Funding Information:
This work was financially supported by Universitas Indonesia under research grant PITTA with grant contract number NKB-0669/UN2.R3.1/HKP.05.00/2019).
Publisher Copyright:
© 2021 Journal of Physics: Conference Series.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/12
Y1 - 2021/1/12
N2 - Non-fatal postoperative complications are postoperative morbidity that can affect the patient's functional status and quality of life. Evaluation of postoperative morbidity is the step needed to assess and improve the quality of patient care. Therefore, a method is required in order to predict risk factors in evaluating a patient's postoperative morbidity. After this the results will be used to determine the insurance premiums. In this research, the Logistic Regression are used to know the risk factors that would occur in patients who had undergone Coronary Artery Bypass Grafting (CABG) surgery. Then we use the CHAID method to classify readmission based on patient characteristics. Based on the two analyzes, it can be concluded that the CHAID analysis supports the Logistics analysis, there are two risk factors significantly influence the complications of patients after Coronary Artery Bypass Graft (CABG), namely Sex and Ejection Fraction.
AB - Non-fatal postoperative complications are postoperative morbidity that can affect the patient's functional status and quality of life. Evaluation of postoperative morbidity is the step needed to assess and improve the quality of patient care. Therefore, a method is required in order to predict risk factors in evaluating a patient's postoperative morbidity. After this the results will be used to determine the insurance premiums. In this research, the Logistic Regression are used to know the risk factors that would occur in patients who had undergone Coronary Artery Bypass Grafting (CABG) surgery. Then we use the CHAID method to classify readmission based on patient characteristics. Based on the two analyzes, it can be concluded that the CHAID analysis supports the Logistics analysis, there are two risk factors significantly influence the complications of patients after Coronary Artery Bypass Graft (CABG), namely Sex and Ejection Fraction.
KW - Maximum likelihood method
KW - Morbidity
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=85100711175&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1725/1/012025
DO - 10.1088/1742-6596/1725/1/012025
M3 - Conference article
AN - SCOPUS:85100711175
SN - 1742-6588
VL - 1725
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012025
T2 - 2nd Basic and Applied Sciences Interdisciplinary Conference 2018, BASIC 2018
Y2 - 3 August 2018 through 4 August 2018
ER -