AI-Driven Big Healthcare Analytics

Author:

Maazouzi Faiz1,Zarzour Hafed2ORCID

Affiliation:

1. Department of Mathematics and Computer Science, University of Souk Ahras, Algeria

2. LIM Research, Department of Mathematics and Computer Science, University of Souk Ahras, Algeria

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.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrating AI, Machine Learning, and IoT Technologies for Enhanced Communication and Medical Applications;Advances in Logistics, Operations, and Management Science;2024-06-28

2. Ensuring Halal Compliance in AI-Driven Healthcare Solutions;Advances in Healthcare Information Systems and Administration;2023-12-18

3. A Review on Data Analytics in Patient Safety;2022 Advances in Science and Engineering Technology International Conferences (ASET);2022-02-21

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