A review of big data technology and its application in cancer care

Tianyun Xiao; Shanshan Kong; Zichen Zhang; Dianbo Hua; Fengchun Liu

doi:10.1016/j.compbiomed.2024.108577

A review of big data technology and its application in cancer care

Comput Biol Med. 2024 May 10:176:108577. doi: 10.1016/j.compbiomed.2024.108577. Online ahead of print.

Authors

Tianyun Xiao¹, Shanshan Kong², Zichen Zhang¹, Dianbo Hua³, Fengchun Liu⁴

Affiliations

¹ Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Tangshan, Hebei, 063210, China; The Key Laboratory of Engineering Computing in Tangshan City, North China University of Science and Technology, Tangshan, Hebei, 063210, China; College of Science, North China University of Science and Technology, Tangshan, Hebei, 063210, China.
² College of Science, North China University of Science and Technology, Tangshan, Hebei, 063210, China. Electronic address: kongss@ncst.edu.cn.
³ Beijing Sitairui Cancer Data Analysis Joint Laboratory, Beijing, 101149, China.
⁴ Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Tangshan, Hebei, 063210, China; The Key Laboratory of Engineering Computing in Tangshan City, North China University of Science and Technology, Tangshan, Hebei, 063210, China; College of Science, North China University of Science and Technology, Tangshan, Hebei, 063210, China; Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan, Hebei, China; Tangshan Intelligent Industry and Image Processing Technology Innovation Center, North China University of Science and Technology, Tangshan, Hebei, China.

PMID: 38739981
DOI: 10.1016/j.compbiomed.2024.108577

Abstract

The development of modern medical devices and information technology has led to a rapid growth in the amount of data available for health protection information, with the concept of medical big data emerging globally, along with significant advances in cancer care relying on data-driven approaches. However, outstanding issues such as fragmented data governance, low-quality data specification, and data lock-in still make sharing challenging. Big data technology provides solutions for managing massive heterogeneous data while combining artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) to better mine the intrinsic connections between data. This paper surveys and organizes recent articles on big data technology and its applications in cancer, dividing them into three different types to outline their primary content and summarize their critical role in assisting cancer care. It then examines the latest research directions in big data technology in cancer and evaluates the current state of development of each type of application. Finally, current challenges and opportunities are discussed, and recommendations are made for the further integration of big data technology into the medical industry in the future.

Keywords: Artificial intelligence; Big data technology; Cancer care; Data-driven; Machine learning.

Publication types

Review