A mechanism that can help users in trusting and understanding the artificial intelligence applications they use.
Published in Chapter:
AI-Driven Big Healthcare Analytics: Contributions and Challenges
Faiz Maazouzi (Department of Mathematics and Computer Science, University of Souk Ahras, Algeria) and Hafed Zarzour (LIM Research, Department of Mathematics and Computer Science, University of Souk Ahras, Algeria)
Copyright: © 2021
|Pages: 13
DOI: 10.4018/978-1-7998-4963-6.ch008
Abstract
With the increased development of technology in healthcare, a huge amount of data is collected from healthcare organizations and stored in distributed medical data centers. In this context, such data quantities, called medical big data, which include different types of digital contents such as text, image, and video, have become an interesting topic tending to change the way we describe, manage, process, analyze, and visualize data in healthcare industry. Artificial intelligence (AI) is one of the sub-fields of computer science enabling us to analyze and solve more complex problems in many areas, including healthcare. AI-driven big healthcare analytics have the potential to predict patients at risk, spread of viruses like SARS-CoV-2, spread of new coronavirus, diseases, and new potential drugs. This chapter presents the AI-driven big healthcare analytics as well as discusses the benefits and the challenges. It is expected that the chapter helps researchers and practitioners to apply AI and big data to improve healthcare.