Efficient mining of association rules for the early diagnosis of Alzheimer's disease

Physics in Medicine and Biology

Volumn 56, Issue 18, 2011, Pages 6047-6063

  Chaves, R ^a   Gorriz J M ^a   Ramirez J ^a   Illn, I A ^a   Salas Gonzalez, D ^a   Gomez Rio M ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b HOSPITAL UNIVERSITARIO VIRGEN DE LAS NIEVES   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; BRAIN AREAS; BRAIN REGIONS; CLASSIFICATION ACCURACY; EARLY DIAGNOSIS; ESTIMATION METHODS; FUNCTIONAL AREAS; LEAVE-ONE-OUT CROSS VALIDATIONS; MINIMUM SUPPORT; NOVEL TECHNIQUES; PERFUSION PATTERNS; SUPPORT AND CONFIDENCE;

ASSOCIATION RULES; BRAIN; COMPUTER AIDED DIAGNOSIS; NEURODEGENERATIVE DISEASES; NUCLEAR MEDICINE; TOMOGRAPHY;

SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

ALZHEIMER DISEASE; ARTICLE; BRAIN; EARLY DIAGNOSIS; EVALUATION; HEMODYNAMICS; HUMAN; METHODOLOGY; MINING; PATHOLOGY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; THREE DIMENSIONAL IMAGING; VASCULARIZATION;

ALZHEIMER DISEASE; BRAIN; EARLY DIAGNOSIS; HEMODYNAMICS; HUMANS; IMAGING, THREE-DIMENSIONAL; MINING; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 80052676629     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/18/017     Document Type: Article

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