Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database
D Gamberger, B Ženko, A Mitelpunkt, N Shachar… - Brain informatics, 2016 - Springer
This paper presents homogeneous clusters of patients, identified in the Alzheimer's Disease
Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by
a total of 243 biological and clinical descriptors. Clustering was performed with a novel
methodology, which supports identification of patient subpopulations that are homogeneous
regarding both clinical and biological descriptors. Properties of the constructed clusters
clearly demonstrate the differences between female and male Alzheimer's disease patient …
Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by
a total of 243 biological and clinical descriptors. Clustering was performed with a novel
methodology, which supports identification of patient subpopulations that are homogeneous
regarding both clinical and biological descriptors. Properties of the constructed clusters
clearly demonstrate the differences between female and male Alzheimer's disease patient …
[PDF][PDF] Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database
DGBZA Mitelpunkt, NSN Lavrac - 2016 - braininformatics.springeropen.com
This paper presents homogeneous clusters of patients, identified in the Alzheimer's Disease
Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by
a total of 243 biological and clinical descriptors. Clustering was performed with a novel
methodology, which supports identification of patient subpopulations that are homogeneous
regarding both clinical and biological descriptors. Properties of the constructed clusters
clearly demonstrate the differences between female and male Alzheimer's disease patient …
Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by
a total of 243 biological and clinical descriptors. Clustering was performed with a novel
methodology, which supports identification of patient subpopulations that are homogeneous
regarding both clinical and biological descriptors. Properties of the constructed clusters
clearly demonstrate the differences between female and male Alzheimer's disease patient …
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