Visualization of estimated prevalence of ces-d positivity accounting for background factors and ais scores

HIGHLIGHTS

• who: Takashi Matsuyama from the The Center for Tohoku University have published the research work: Visualization of estimated prevalence of CES-D positivity accounting for background factors and AIS scores, in the Journal: Scientific Reports Scientific Reports of March/11,/2011
• what: The aim of this study is to propose a method to explicitly use epidemiological big data for efficient disease screening. The authors showed that background information and AIS scores obtained from epidemiological big data can be compressed into prevalence of CES-D positivity.
• how: The validity of this method was investigated . . .
  

   

  

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