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Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning: a newly data-driven modeling attempt.

Yan-Feng GongLing-Qian ZhuYin-Long LiLi-Juan ZhangJing-Bo XueShang XiaShan LvJing XuShi-Zhu Li
Published in: Infectious diseases of poverty (2021)
The risk of schistosomiasis transmission in China still exists, with high-risk areas relatively concentrated in the coastal regions of the middle and lower reaches of the Yangtze River. Coupled models of IV and machine learning provide for effective analysis and prediction, forming a scientific basis for evidence-lead surveillance and control.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • climate change
  • heavy metals
  • healthcare
  • risk assessment
  • human health
  • social media