Early detection of alzheimer disease using machine learning

 
   Lead Investigator:    Rizwan Ali
   Institution      :    Comsats university islamabad, Abbottabad campus
   E-Mail           :    rizwaan-ali@hotmail.com
   Proposal ID      :    1179



   Proposal Description:
   My target about  NACC dataset is to check if there are enough data of patients  and questions asked about disease as like their age, sex, BMI, years of education, smoker, alcoholic, depression, head injury or any other disease as like cardiovascular  that are more related to assessment of Alzheimer or dementia. i think they would be suitable for training supervised machine learning algorithm. At the end it will be known that how many people are in which stage of dementia. So that the progression could be slow down by knowing which factor is more related to disease.    My supervisor want to explore MRI images data to see if we can detect signs of alzheimer disease and train a system through these images so that the MRI of a patient given to system and system would be able to detect that whether new patient has symptoms of alzheimer or not.