An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic

Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee Wei Tan, Weng Kee Wong

研究成果: Review article同行評審

11 引文 斯高帕斯(Scopus)


In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways to collect, process, analyze and interpret the massive and complex data. We provide an overview of challenges in big data problems and describe how innovative analytical methods, machine learning tools and metaheuristics can tackle general healthcare problems with a focus on the current pandemic. In particular, we give applications of modern digital technology, statistical methods,data platforms and data integration systems to improve diagnosis and treatment of diseases in clinical research and novel epidemiologic tools to tackle infection source problems, such as finding Patient Zero in the spread of epidemics. We make the case that analyzing and interpreting big data is a very challenging task that requires a multi-disciplinary effort to continuously create more effective methodologies and powerful tools to transfer data information into knowledge that enables informed decision making.

頁(從 - 到)1463-1480
期刊IEEE Transactions on Big Data
出版狀態Published - 2022 12月 1

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 資訊系統與管理


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