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

被引：0
作者：
Xiao T. [1 ,2 ,3 ]
Kong S. [3 ]
Zhang Z. [1 ,2 ,3 ]
Hua D. [6 ]
Liu F. [1 ,2 ,3 ,4 ,5 ]
机构：
[1] Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Hebei, Tangshan
[2] The Key Laboratory of Engineering Computing in Tangshan City, North China University of Science and Technology, Hebei, Tangshan
[3] College of Science, North China University of Science and Technology, Hebei, Tangshan
[4] Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Hebei, Tangshan
[5] Tangshan Intelligent Industry and Image Processing Technology Innovation Center, North China University of Science and Technology, Hebei, Tangshan
[6] Beijing Sitairui Cancer Data Analysis Joint Laboratory, Beijing
来源：
Computers in Biology and Medicine | 2024年 / 176卷
关键词：
Artificial intelligence; Big data technology; Cancer care; Data-driven; Machine learning;
D O I：
10.1016/j.compbiomed.2024.108577
中图分类号：
学科分类号：
摘要：
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. © 2024 Elsevier Ltd
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