The recent evolution on Artificial Intelligence challenges the Healthcare Domain. The
disruptive character of this technology is still unpredictable, but all the basic facts concerning …

The hallmark of a successful analytics strategy ultimately is one that results in sustainable
data delivery, as this demonstrates value to the enterprise and alignment of critical …

This book offers a practical introduction to healthcare analytics that does not require a
background in data science or statistics. It presents the basics of data, analytics and tools …

Big data analytics can revolutionize healthcare by using vast amounts of data to improve
patient care and healthcare management. However, several challenges must be overcome …

Recent years have witnessed a significant convergence of artificial intelligence (AI) within
the healthcare sector. This chapter explores the transformative potential and challenges …

Information is paramount to the healthcare sector, entailing intense data, medical
epidemiologic sets, Internet browsing records, surveys, complex engineering models, and …

In the era of big data, the integration and management of vast, heterogeneous datasets pose
significant challenges. Modern data platforms are evolving to address these challenges by …

This perspective paper provides a comprehensive examination of artificial intelligence (AI) in
healthcare, focusing on its transformative impact on clinical practices, decision-making, and …

People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …

This chapter examines the transformative potential of machine learning in shaping smart
health services within the framework of Industry 5.0. Through a comprehensive exploration …