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
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.