Machine Learning Model for Imbalanced Cholera Dataset in Tanzania

Volume: 2019, Pages: 1 - 12
Published: Jul 25, 2019
Abstract
Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera has strong linkage with environmental factors such as climate change and geographical location. Climate change has been strongly linked to the seasonal occurrence and widespread of cholera through the creation of weather patterns...
Paper Details
Title
Machine Learning Model for Imbalanced Cholera Dataset in Tanzania
Published Date
Jul 25, 2019
Volume
2019
Pages
1 - 12
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.