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The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management
Digital transformation is revolutionizing many industries and increasingly more
organizations are adopting digital technologies in their processes. The adoption and …
organizations are adopting digital technologies in their processes. The adoption and …
Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents
Understanding the factors behind aviation incidents is essential, not only because of the
lethality of the accidents but also the incidents' direct and indirect economic impact. Even …
lethality of the accidents but also the incidents' direct and indirect economic impact. Even …
Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model
Despite the exponential transformation occurring in the healthcare industry, operational
failures pose significant challenges in the delivery of safe and efficient care. Incident …
failures pose significant challenges in the delivery of safe and efficient care. Incident …
Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development
Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …
transportation systems, particularly in crowded megacities. Machine learning technologies …
Develo** a decision support system to detect material weaknesses in internal control
Wells Fargo employees set up 3.5 million fraudulent accounts over several years. Wells
Fargo ended up paying $4.5 billion in fines. The Wells Fargo scandal highlights the …
Fargo ended up paying $4.5 billion in fines. The Wells Fargo scandal highlights the …
[HTML][HTML] Machine learning-based prediction models for patients no-show in online outpatient appointments
With the development of information and communication technologies, all public tertiary
hospitals in China began to use online outpatient appointment systems. However, the …
hospitals in China began to use online outpatient appointment systems. However, the …
A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends
As the popularity of blockchain technology and investor confidence in Bitcoin (BTC)
increased in recent years, many individuals started making BTC and other cryptocurrency …
increased in recent years, many individuals started making BTC and other cryptocurrency …
Using machine learning techniques to reduce uncertainty for outpatient appointment scheduling practices in outpatient clinics
Most outpatient clinics apply deterministic block scheduling policies to patient visits even
though patients utilize varying amounts of time, leaving patients, operations managers, and …
though patients utilize varying amounts of time, leaving patients, operations managers, and …
Decision support system for appointment scheduling and overbooking under patient no-show behavior
Data availability enables clinics to use predictive analytics to improve appointment
scheduling and overbooking decisions based on the predicted likelihood of patients missing …
scheduling and overbooking decisions based on the predicted likelihood of patients missing …
An interpretable decision-support systems for daily cryptocurrency trading
Abstract Cryptocurrencies, especially Bitcoin (BTC), have become an important commodity
for both individual and corporate investors within the last decade. The limited supply, high …
for both individual and corporate investors within the last decade. The limited supply, high …