ADNI | Active Investigations

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Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator
Principal Investigator's Name:	Heba AL.Marwi
Institution:	Sana'a University
Department:	computer science
Country:
Proposed Analysis:	Feature selection is one of the important techniques of dimensionality reduction in data preprocessing because datasets generally have redundant and irrelevant features . We propose a multi-objective feature selection algorithm to to obtain minimum optimal subset of features and increase the classification performance from high-dimensional microarray.
Additional Investigators
Investigator's Name:	Ghulb AL.Ghaphari
Proposed Analysis:	Feature selection is one of the important techniques of dimensionality reduction in data preprocessing because datasets generally have redundant and irrelevant features . We propose a multi-objective feature selection algorithm to to obtain minimum optimal subset of features and increase the classification performance from high-dimensional microarray.
Investigator's Name:	Ghulb AL.Ghaphari
Proposed Analysis:	Feature selection is one of the important techniques of dimensionality reduction in data preprocessing because datasets generally have redundant and irrelevant features . We propose a multi-objective feature selection algorithm to to obtain minimum optimal subset of features and increase the classification performance from high-dimensional microarray.
Investigator's Name:	Ghulb AL.Ghaphari
Proposed Analysis:	Feature selection is one of the important techniques of dimensionality reduction in data preprocessing because datasets generally have redundant and irrelevant features . We propose a multi-objective feature selection algorithm to to obtain minimum optimal subset of features and increase the classification performance from high-dimensional microarray.