The implementation of Data Analytics has achieved a significant momentum across a very
wide range of domains. Part of that progress is directly linked to the implementation of Text …

The paper provides the readers with the knowledge of how reinforcement learning (RL)
applications can be applied in medical diagnosis and healthcare. RL is a powerful and …

Data Analytics has become an essential part of the Internet of Things (IoT), mainly text
analytics-related applications, since they can be utilized to benefit educational institutions …

Objectives This paper presents a systematic mapping of studies related to information
systems and technology in the field of healthcare, enabling a visual mapping of the different …

A sizable segment of the world's population lacks access to quality healthcare. The success
of healthcare ultimately depends on the doctor's skill. In this study, we investigate if this …

Presidential elections can impact world peace, global economics, and overall well-being.
Recent news indicates that fraud on the Web has played a substantial role in elections …

The demand for machine learning and data science has grown exponentially in recent
years. Yet, as the influence of these fields reach farther into daily life, the disparate impacts …

The healthcare industry is facing a major shift in how patient care is administered. Data-
driven decisions are becoming increasingly important to reduce costs and improve patient …

Managing big data in distributed environments is a critical research challenge that has
driven the attention from the community. In this context, there are several issues to be faced …

As Machine Learning and other fields of Artificial Intelligence are increasingly used for
automating the most diverse aspects of our day-to-day life, so too increases the scrutiny and …