Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Despite recent advancements in machine learning (ML) applications in health care, there
have been few benefits and improvements to clinical medicine in the hospital setting. To …

Antimicrobial resistance (AMR) and healthcare associated infections pose a significant
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …

While the emerging research field of explainable artificial intelligence (XAI) claims to
address the lack of explainability in high-performance machine learning models, in practice …

Despite the impressive predictive performance exhibited by deep learning across various
domains, its application in research models within the social and behavioral sciences has …

Accurate service demand forecasts at critical facilities are fundamental for efficiently
managing resources and promptly providing essential services to people and community …

Over the last decade, machine learning methods have revolutionized a large number of
domains and provided solutions to many problems that people could hardly solve in the …

Unplanned and rapid urban growth requires the reckless expansion of infrastructure
including water, sewage, energy, and transportation facilities, and thus causes …

Explainable Artificial Intelligence (XAI) has emerged as a crucial research area to address
the interpretability challenges posed by complex machine learning models. In this survey …

Contemporary decision support systems are increasingly relying on artificial intelligence
technology such as machine learning algorithms to form intelligent systems. These systems …