MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials

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

Volumn 7263 LNAI, Issue , 2012, Pages 124-131

  Hinrichs, Chris ^a,b   Dowling, N Maritza ^b   Johnson, Sterling C ^b   Singh, Vikas ^a,b  

^a University of Wisconsin   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; CLINICAL TRIAL; DRUG DEVELOPMENT CYCLE; HIGHER EFFICIENCY; IMAGING MODALITY; MACHINE LEARNING METHODS; MULTI-KERNEL; PREDICTIVE ABILITIES; REDUCED COST; SAMPLE ENRICHMENT; SAMPLE SIZES;

DATA PROCESSING; EXPERIMENTS; FORECASTING; NEUROIMAGING;

LEARNING SYSTEMS;

EID: 84870013120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34713-9_16     Document Type: Conference Paper

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