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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 …
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
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 …
students pass their courses and graduate on time have thus become issues of concern. This …
An accurate ECG-based transportation safety drowsiness detection scheme
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 …
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
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 …
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
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 …
different opinions from a group of decision makers needs to ensure appropriate decision …
Big data and IoT solution for patient behaviour monitoring
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 …
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 …
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 …
social concern worldwide. With the advent of technology, medical domain has benefited …
Hospital performance assessment using interval-valued spherical fuzzy analytic hierarchy process
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 …
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
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 …
decades. Traditional measures such as education and legislation have contributed to limited …