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Principal Investigator  
Principal Investigator's Name: B.T. Thomas Yeo
Institution: National University of Singapore
Department: Electrical and Computer Engineering
Proposed Analysis: We plan to develop supervised and unsupervised machine learning algorithms to study AD using structural MR, resting-state fMRI and other biomarkers. For example, can we discover different AD subtypes? Can we predict which MCI patients will become AD patients? This work will extend our recent work in using machine learning to study individual differences, mental disorders and brain organization (https://scholar.google.com.sg/citations?user=BOUzsU8AAAAJ&hl=en).
Additional Investigators  
Investigator's Name: Lijun An
Proposed Analysis: I am going to use ADNI dataset to develop the machine learning framework for prediction and prevention of Alzheimer's Disease.
Investigator's Name: Naren Wulan
Proposed Analysis: We want to use ADNI to study data imputation techniques.
Investigator's Name: Chen Zhang
Proposed Analysis: Using ADNI data to modeling the progression of Alzheimer's Disease
Investigator's Name: Kim Ngan Nguyen
Proposed Analysis: Use ADNI data for Alzheimer's Disease prediction.
Investigator's Name: Trevor Tan
Proposed Analysis: Use ADNI data for Alzheimer's Disease prediction.