Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …

The tragic failure of the global supply chain in the face of the current coronavirus outbreak
has caused acute shortages of essential frontline medical devices and personal protective …

As the world grapples with the problem of the coronavirus disease 2019 (COVID-19)
pandemic and its devastating effects, scientific groups are working towards solutions to …

Background A significant proportion of healthcare resource has been diverted to the care of
those with COVID-19. This study reports the volume of surgical activity and the number of …

Forecasting the outcome of outbreaks as early and as accurately as possible is crucial for
decision-making and policy implementations. A significant challenge faced by forecasters is …

Wellbeing can be ensured in society through quality healthcare, a minimum of medical
errors, and the improved performance of healthcare professionals. To this end, health …

The robust estimate and forecast capability of random forests (RF) has been widely
recognized, however this ensemble machine learning method has not been widely used in …

Multi-step forecasting is very challenging and there are a lack of studies available that
consist of machine learning algorithms and methodologies for multi-step forecasting. It has …

Workforce planning for home healthcare represents an important and challenging task
involving complex factors associated with labor regulations, caregivers' preferences, and …

Forecasting of future stock prices is a complex and challenging research problem due to the
random variations that the time series of these variables exhibit. In this work, we study the …