Data mining of large sample Alzheimer's disease for early warning and diagnosis
  
   Lead Investigator:    yuanxiang Tian
   Institution      :    China Academy of Chinese Medical Sciences
   E-Mail           :    tyx429@vip.163.com
   Proposal ID      :    115



   Proposal Description:
   Abstract: Patients??? nerve pathology reports cannot be obtained during their lifetime, only after they died. Neuropathologic types can be understood through characteristic symptoms when patients are alive. So, from the database, we can determine characteristic symptoms which are consistent with neuropathologic types, and then structure a warning model based on characteristic symptoms. Earlier forecast of the neuropathologic types can lead to early intervention through the early warning model.