Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: a review of three decades of research with recent …

A Mardani, RE Hooker, S Ozkul, S Yifan… - Expert systems with …, 2019 - Elsevier
Decision making techniques have been widely used in healthcare and medical industry.
This study systematically reviews the conventional and fuzzy decision-making techniques …

Predicting at-risk university students in a virtual learning environment via a machine learning algorithm

KT Chui, DCL Fung, MD Lytras, TM Lam - Computers in Human behavior, 2020 - Elsevier
A university education is widely considered essential to social advancement. Ensuring
students pass their courses and graduate on time have thus become issues of concern. This …

An accurate ECG-based transportation safety drowsiness detection scheme

KT Chui, KF Tsang, HR Chi, BWK Ling… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Many traffic injuries and deaths are caused by the drowsiness of drivers during driving.
Existing drowsiness detection schemes are not accurate due to various reasons. To resolve …

Multiple-criteria decision making, feature selection, and deep learning: a golden triangle for heart disease identification

A Najafi, A Nemati, M Ashrafzadeh… - Engineering Applications of …, 2023 - Elsevier
Cardiovascular diseases (CVD) are among the deadliest illnesses that suffer many people
worldwide. Nevertheless, an on-time diagnosis of heart disease can play a significant role in …

[HTML][HTML] A novel approach for group decision making based on the best–worst method (G-bwm): Application to supply chain management

G Haseli, R Sheikh, J Wang, H Tomaskova… - Mathematics, 2021 - mdpi.com
Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing
different opinions from a group of decision makers needs to ensure appropriate decision …

Big data and IoT solution for patient behaviour monitoring

KT Chui, RW Liu, MD Lytras, M Zhao - Behaviour & Information …, 2019 - Taylor & Francis
The study of patient behaviours (vital sign, physical action and emotion) is crucial to improve
one's quality of life. The only solution for handling and managing millions of people's …

Evaluating and prioritizing hospital service quality

A Torkzad, MA Beheshtinia - … journal of health care quality assurance, 2019 - emerald.com
Purpose Hospital evaluations create competition between healthcare providers. In this
study, a multi criteria decision-making (MCDM) method is used to evaluate criteria that affect …

Use of machine learning techniques in healthcare: A brief review of cardiovascular disease classification

S Panicker - 2nd International Conference on Communication & …, 2020 - papers.ssrn.com
One of the major leading cause of fatalities globally, cardiovascular diseases are a growing
social concern worldwide. With the advent of technology, medical domain has benefited …

Hospital performance assessment using interval-valued spherical fuzzy analytic hierarchy process

F Kutlu Gündoğdu, C Kahraman - … with Spherical Fuzzy Sets: Theory and …, 2021 - Springer
Health-care service quality is the core of the medical institution's management. However, the
measurement of service quality is difficult by classical measurement approaches. The fuzzy …

[HTML][HTML] Extended-range prediction model using NSGA-III optimized RNN-GRU-LSTM for driver stress and drowsiness

KT Chui, BB Gupta, RW Liu, X Zhang, P Vasant… - Sensors, 2021 - mdpi.com
Road traffic accidents have been listed in the top 10 global causes of death for many
decades. Traditional measures such as education and legislation have contributed to limited …