Identification of gender specific biomarkers for Alzheimer’s disease

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9250, Issue , 2015, Pages 57-66

  Gamberger, Dragan ^a   Ženko, Bernard ^b   Mitelpunkt, Alexis ^c   Lavrač, Nada ^b,d   Alzheimer's Disease Neuroimaging Initiative ^e  

^a RUDER BO KOVI INSTITUTE   (Croatia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c TEL AVIV UNIVERSITY   (Israel)

^d UNIVERSITY OF NOVA GORICA   (Slovenia)

^e NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

ALZHEIMER; BIOLOGICAL PATHWAYS; DESCRIPTORS; NOVEL CLUSTERING; WHOLE BRAINS;

INFORMATION SCIENCE;

EID: 84945944205     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23344-4_6     Document Type: Conference Paper

References (7)

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3. Gamberger, D., Mihelčić, M., Lavrač, N.: Multilayer clustering: a discovery experiment on country level trading data. In: Džeroski, S., Panov, P., Kocev, D., Todorovski, L. (eds.) DS 2014. LNCS, vol. 8777, pp. 87–98. Springer, Heidelberg (2014)
4. Gamberger, D., ženko, B., Mitelpunkt, A., Lavrač, N.: Multilayer clustering: biomarker driven segmentation of Alzheimer’s disease patient population. In: Proc. of the International Conference IWBBIO 2015, pp. 134–145 (2015)
5. Hample, H.L., et al.: Biomarkers for Alzheimer’s disease: academic, industry, and regulatory perspectives. Nature Reviews Drug Discovery 9, 560–574 (2010)
6. Barnes, L.L., et al.: Sex differences in the clinical manifestations of Alzheimer disease pathology. Archives of General Psychiatry 62(6), 685–691 (2005)
7. Langbaum, J.B., et al.: Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Neuroimage 45(4), 1107–1116 (2009)