Application of Fuzzy Method to Predict Patient's Belief in Doctor Qualifications

Rudiyanto, Ermi Girsang, Ali Napiah Nasution

2020

Abstract

It was found that the majority of hospitals lately tend to experience a decrease in visits, especially at the nursery, presumably because some patients are not sure about the practicing doctor. The aim of this study is to identify factors related to patient belief in practicing doctors. For the data, from 9,919 respondents, 260 samples were used. Data identification using univariate, bivariate with chi-square test, and multivariate with multiple logistic regression at 95% confidence level ( = 0.05) were selected. The results of the identification are then modeled using the fuzzy method to predict the patient's confidence in the qualifications of doctors. The design of the independent variable factor relationship model with the dependent variable of 90% is achieved. It is hoped that the results of the model prediction will greatly assist management in making policies. Identification result showed that the factors of doctor reliability, doctor's communication style, and doctor-patient relationship were the most significant factors (p <0.05) in increasing patient confidence in doctors. The dominant variable was found in the doctor-patient relationship (having a weight of confidence in the practicing doctor of 11.1 times higher).

Paper Citation

in Harvard Style

Rudiyanto., Girsang E. and Nasution A. (2020). Application of Fuzzy Method to Predict Patient's Belief in Doctor Qualifications.In Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP, ISBN 978-989-758-500-5, pages 118-125. DOI: 10.5220/0010291001180125

in Bibtex Style

@conference{himbep20,
author={Rudiyanto and Ermi Girsang and Ali Napiah Nasution},
title={Application of Fuzzy Method to Predict Patient's Belief in Doctor Qualifications},
booktitle={Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,},
year={2020},
pages={118-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010291001180125},
isbn={978-989-758-500-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,
TI - Application of Fuzzy Method to Predict Patient's Belief in Doctor Qualifications
SN - 978-989-758-500-5
AU - Rudiyanto.
AU - Girsang E.
AU - Nasution A.
PY - 2020
SP - 118
EP - 125
DO - 10.5220/0010291001180125