XIAODAN ZHANG
Project Personnel, Michigan State University
2 active projects
Duplicate of MCI Project
Scientific Questions Being Studied
Mild cognitive impairment (MCI) is a decline of mental function. It falls between the expected decline of normal aging, and the more serious decline of dementia. It increases a person’s risk of Alzheimer’s disease and other forms of dementia.
The goal of our analysis is aiming to develop a risk scoring system for the prediction of the conversion of cognitively normal people into patients with Mild Cognitive Impairment (MCI) to provide a reliable tool for the prevention of MCI.
Project Purpose(s)
- Disease Focused Research (Mild Cognitive Impairment )
- Population Health
- Methods Development
Scientific Approaches
We may use statistical models including Least Absolute Shrinkage and Selection Operator (LASSO) regression, logistic regression, correlation analysis, Cox proportional hazards regression analysis, etc. to develop a scoring system to determine the risk of a person to have MCI.
Anticipated Findings
We will investigate risk factors associated with mild cognitive impairment (MCI) like gender, race, diabetes, etc., and develop risk score to that allows physician to determine the risk of developing MCI in populations 45+. Our anticipated findings can help in the early detection of MCI. Patients with suspected MCI should undergo a comprehensive history and physical examination at an earlier age to distinguish MCI from normal aging or dementia.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered Tier
MCI Project
Scientific Questions Being Studied
Mild cognitive impairment (MCI) is a decline of mental function. It falls between the expected decline of normal aging, and the more serious decline of dementia. It increases a person’s risk of Alzheimer’s disease and other forms of dementia.
The goal of our analysis is aiming to develop a risk scoring system for the prediction of the conversion of cognitively normal people into patients with Mild Cognitive Impairment (MCI) to provide a reliable tool for the prevention of MCI.
Project Purpose(s)
- Disease Focused Research (Mild Cognitive Impairment )
- Population Health
- Methods Development
Scientific Approaches
We may use statistical models including Least Absolute Shrinkage and Selection Operator (LASSO) regression, logistic regression, correlation analysis, Cox proportional hazards regression analysis, etc. to develop a scoring system to determine the risk of a person to have MCI.
Anticipated Findings
We will investigate risk factors associated with mild cognitive impairment (MCI) like gender, race, diabetes, etc., and develop risk score to that allows physician to determine the risk of developing MCI in populations 45+. Our anticipated findings can help in the early detection of MCI. Patients with suspected MCI should undergo a comprehensive history and physical examination at an earlier age to distinguish MCI from normal aging or dementia.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- XIAODAN ZHANG - Project Personnel, Michigan State University
Collaborators:
- Nabasmita Talukdar - Graduate Trainee, Michigan State University
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