Editorial: Big Data: Could it ever cure Alzheimer's disease?

Brain

Volumn 137, Issue 10, 2014, Pages 2623-2624

  Husain, Masud ^a  

^a Oriel College Oxford   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; BRAIN REGION; COGNITION; EDITORIAL; FUNDING; HUMAN; MOLECULAR MECHANICS; NEUROIMAGING; PATIENT ATTITUDE; PRIORITY JOURNAL; FACTUAL DATABASE; GENETIC DATABASE; GENETICS; MEDICAL INFORMATICS; NEUROSCIENCE;

ALZHEIMER DISEASE; DATABASES, FACTUAL; DATABASES, GENETIC; HUMANS; MEDICAL INFORMATICS; NEUROSCIENCES;

EID: 84908388652     PISSN: 00068950     EISSN: 14602156     Source Type: Journal    
DOI: 10.1093/brain/awu245     Document Type: Editorial

References (7)

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3. OECD. Unleashing the power of big data for Alzheimer's disease and dementia research. Paris: Organisation for Economic Co-operation and Development; 2014. http://www.oecd-ilibrary.org/content/working-paper/5jz73kvmvbwb-en.
4. Ozimek A. Don't underestimate big data. Forbes April 4, 2014. http://www.forbes.com/sites/modeledbehavior/2014/04/15/dont-underesti mate-big-data/.
5. Schumacher EF. Small is beautiful: a study of economics as if people mattered. London: Blond & Briggs Ltd; 1973.
6. Open message to the European Commission concerning the Human Brain Project. 2014. http://www.neurofuture.eu/.
7. Big data challenge for Alzheimer's disease launches in global effort to use innovative open science techniques to improve diagnosis and treatment. 2014. http://www.ceoalzheimersinitiative.org/node/70.