Effective diagnosis of Alzheimer's disease by means of distance metric learning and random forest

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

Volumn 6687 LNCS, Issue PART 2, 2011, Pages 59-67

  Chaves, R ^a   Ramirez J ^a   Gorriz J M ^a   Illan I ^a   Segovia, F ^a   Olivares, A ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; Distance Metric Learning; Kernel Principal Components Analysis; Random Forest; SPECT Brain Imaging; Support Vector Machines

Indexed keywords

ALZHEIMER'S DISEASE; DISTANCE METRIC LEARNING; KERNEL PRINCIPAL COMPONENTS ANALYSIS; RANDOM FORESTS; SPECT BRAIN IMAGING;

COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; DECISION TREES; NEURODEGENERATIVE DISEASES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79956294776     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21326-7_7     Document Type: Conference Paper

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