[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
Towards effective clinical decision support systems: A systematic review
Background Clinical Decision Support Systems (CDSS) are used to assist the decision-
making process in the healthcare field. Develo** an effective CDSS is an arduous task …
making process in the healthcare field. Develo** an effective CDSS is an arduous task …
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a
leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR …
leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR …
A stacking-based ensemble learning method for earthquake casualty prediction
S Cui, Y Yin, D Wang, Z Li, Y Wang - Applied Soft Computing, 2021 - Elsevier
The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
Early segmentation of students according to their academic performance: A predictive modelling approach
The early classification of university students according to their potential academic
performance can be a useful strategy to mitigate failure, to promote the achievement of …
performance can be a useful strategy to mitigate failure, to promote the achievement of …
An improved random forest-based rule extraction method for breast cancer diagnosis
Breast cancer has been becoming the main cause of death in women all around the world.
An accurate and interpretable method is necessary for diagnosing patients with breast …
An accurate and interpretable method is necessary for diagnosing patients with breast …
The analytics paradigm in business research
The availability of data in massive collections in recent past not only has enabled data-
driven decision-making, but also has created new questions that cannot be addressed …
driven decision-making, but also has created new questions that cannot be addressed …
A survey on multimodal data-driven smart healthcare systems: approaches and applications
Multimodal data-driven approach has emerged as an important driving force for smart
healthcare systems with applications ranging from disease analysis to triage, diagnosis and …
healthcare systems with applications ranging from disease analysis to triage, diagnosis and …
Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus
Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …
Synthesis of nickel-sphere coated Ni-Mn layer for efficient electrochemical detection of urea
Using a trustworthy electrochemical sensor in the detection of urea in real blood samples
received a great attention these days. A thin layer of nickel-coated nickel-manganese (Ni …
received a great attention these days. A thin layer of nickel-coated nickel-manganese (Ni …