Login / Signup

Fine-Scale Spatial Prediction on the Risk of Plasmodium vivax Infection in the Republic of Korea.

Kyung-Duk MinYae Jee BaekKyung-Won HwangNa-Ri ShinSo-Dam LeeHye-Su KanJoon Sup Yeom
Published in: Journal of Korean medical science (2024)
Machine-learning models with properly preprocessed malaria case data can provide reliable predictions. Additional predictors, such as mosquito density, should be included in future studies to improve the performance of models.
Keyphrases
  • machine learning
  • big data
  • air pollution
  • electronic health record
  • artificial intelligence
  • aedes aegypti
  • dengue virus
  • deep learning