Background Ensuring access to accurate and verified information is essential for effective
patient treatment and diagnosis. Although health workers rely on the internet for clinical …

Despite the variety of sensors that can be used in a smart home or office setup, for
monitoring energy consumption and assisting users to save energy, their usefulness is …

Introduction: Advances in clinical decision support (CDS) continue to evolve to support the
goals of clinicians, policymakers, patients and professional organizations to improve clinical …

Blockchain is the latest boon in the world which handles mainly banking and finance. The
blockchain is also used in the healthcare management system for effective maintenance of …

We present a system for data‐driven therapy decision support based on techniques from the
field of recommender systems. Two methods for therapy recommendation, namely …

Objective To provide an overview of the decision fusion (DF) technique and describe the
applications of the technique in healthcare and medicine at prevention, diagnosis, treatment …

Data-based clinical decision support systems (CDSSs) can provide personalized support in
medical applications. Such systems are expected to play an increasingly important role in …

Combining two or more classifiers into an ensemble and fusing the individual classifier
decisions to a consensus decision can improve the accuracy for a classification problem …

Context: Decision fusion has emerged as a data management technique due to the diversity
and scalability of data in health care. This first-scope review aimed to investigate the use of …

Introduction: Recently, with the surge in the availability of relevant data in various industries,
the use of Information Fusion technique for data analysis is increasing. This method has …