×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Mohammed Samy
Institution: faculty of computer and information sciences ain shams
Department: Bioinformatics
Country:
Proposed Analysis: Title of research: Graduation Project : Early detection of Alzheimer using samples of MRI images representing different AD stages Objectives: 1. Early detection of Alzheimer using samples of MRI images representing different AD stages. 2. Helping patients avoid Alzheimer's disease before it reaches the clinical stage using deep learning. 3. Achieving efficient application. 4. Detecting many other diseases accurately before it reaches the clinical stage, not only Alzheimer's disease. brief justification of my proposed project: AD is a neurodegenerative disease that usually starts slowly and progressively worsens. It is the cause of 60–70% of cases of dementia. The most common early symptom is difficulty in remembering recent events. As the disease advances, symptoms can include problems with language, disorientation (including easily getting lost), mood swings, loss of motivation, self-neglect, and behavioral issues. As a person's condition declines, they often withdraw from family and society. Gradually, bodily functions are lost, ultimately leading to death. this paper aims to use Machine learning, and data mining techniques to enhance the quality and productivity of medicine and healthcare centers by using 6 different machine learning and data mining algorithm including knearest neighbors (k-NN), decision tree (DT), rule induction, Naive Bayes, generalized linear model (GLM) and deep learning algorithm. Mild Alzheimer’s disease As Alzheimer’s worsens, people experience greater memory loss and other cognitive difficulties. Problems can include wandering and getting lost, trouble handling money and paying bills, repeating questions, taking longer to complete normal daily tasks, and personality and behavior changes. People are often diagnosed in this stage. 2.7.2 Moderate Alzheimer’s disease In this stage, damage occurs in areas of the brain that control language, reasoning, conscious thought, and sensory processing, such as the ability to correctly detect sounds and smells. Memory loss and confusion grow worse, and people begin to have problems recognizing family and friends. They may be unable to learn new things, carry out multistep tasks such as getting dressed, or cope with new situations. In addition, people at this stage may have hallucinations, delusions, and paranoia and may behave impulsively. 2.7.3 Severe Alzheimer’s disease Ultimately, plaques and tangles spread throughout the brain, and brain tissue shrinks significantly. People with severe Alzheimer’s cannot communicate and are completely dependent on others for their care. Near the end of life, the person may be in bed most or all the time as the body shuts down Why i need to access ADNI datasets ? to train my deep learning model that used in my graduation project of alzheimer disease detection. Signature: Mohammed Samy Name (capital letters) MOHAMMED SAMY . Contact details: +201094933671 mohammedmohammed4568@gmail.com
Additional Investigators