Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine.

Journal: Computational intelligence and neuroscience
Published Date:

Abstract

OBJECTIVE: This study attempts to build a big data platform for disease burden that can realize the deep coupling of artificial intelligence and public health. This is a highly open and shared intelligent platform, including big data collection, analysis, and result visualization.

Authors

  • Chengcheng Li
    Department of Ultrasound, Taihe Hospital, Hubei University of Medicine, Shiyan, People's Republic of China.
  • Jing Gao
    Department of Gastroenterology 3, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
  • Qingwei Pan
    College of Physical Education and Health, Guangxi Medical University, Nanning 530021, China.
  • Zhihua Zhou
    School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
  • Yue Yang
    Department of Nephrology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Shangcheng Zhou
    School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.