Babylonian Journal of Internet of Things

A Brief Review of Big Data in Healthcare: Challenges and Issues, Recent Developments, and Future Directions

Ahmed Adil Nafea

Department of Artificial Intelligence, College of Computer Science and IT, University of Anbar, Ramadi, Iraq

https://orcid.org/0000-0003-2293-1108

Russel R Majeed

1College of Education for Pure Sciences, University of Thi-Qar, Thi-Qar, Iraq

https://orcid.org/0009-0002-4327-9067

Ashour Ali

Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia

https://orcid.org/0000-0001-7266-1623

Ahmed Jumaah Yas

College of Computer Science and IT, University of Anbar, Ramadi, Iraq

https://orcid.org/0009-0004-8204-1873

Saeed Amer Alameri

Department of Information Technology, Seiyun University, Hadhramout, Yemen

https://orcid.org/0009-0002-8335-8480

Mohammed M AL-Ani

Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia

https://orcid.org/0000-0003-1649-3201

DOI: https://doi.org/10.58496/BJIoT/2024/002

Keywords: Artificial Intelligence, Big data, Healthcare, Internet of Medical Things, Machine Learning

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Abstract

Big data is improving the healthcare industry and creating opportunities for improved patient care, personalized medicine, and advanced research. This brief review article aims to survey the challenges and issues connected with big data in healthcare, discuss recent developments in the field, and highlight future directions for helping big data to enhance healthcare outcomes by understanding these aspects, participants can make informed decisions and contribute to the advancement of big data analytics in healthcare.