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Principal Investigator  
Principal Investigator's Name: 子臻 魏
Institution: 南方科技大学
Department: Biomedical Engeering
Country:
Proposed Analysis: Classification and prediction analysis for Alzheimer's disease is a method of using various techniques to identify and predict the likelihood of a person developing Alzheimer's disease. This can involve analyzing factors such as medical history, genetic predisposition, and cognitive ability to determine an individual's risk of developing the condition. By identifying individuals at risk, early intervention and treatment can be implemented, which may help slow the progression of the disease and improve the overall quality of life for those affected.
Additional Investigators  
Investigator's Name: 兴关 谭
Proposed Analysis: Classification and prediction analysis for Alzheimer's disease is a method of using various techniques to identify and predict the likelihood of a person developing Alzheimer's disease. This can involve analyzing factors such as medical history, genetic predisposition, and cognitive ability to determine an individual's risk of developing the condition. By identifying individuals at risk, early intervention and treatment can be implemented, which may help slow the progression of the disease and improve the overall quality of life for those affected.
Investigator's Name: 兴关 谭
Proposed Analysis: Classification and prediction analysis for Alzheimer's disease is a method of using various techniques to identify and predict the likelihood of a person developing Alzheimer's disease. This can involve analyzing factors such as medical history, genetic predisposition, and cognitive ability to determine an individual's risk of developing the condition. By identifying individuals at risk, early intervention and treatment can be implemented, which may help slow the progression of the disease and improve the overall quality of life for those affected.