Ontology driven decision support for the diagnosis of mild cognitive impairment

Computer Methods and Programs in Biomedicine

Volumn 113, Issue 3, 2014, Pages 781-791

  Zhang, Xiaowei ^a   Hu, Bin ^a,b,c   Ma, Xu ^a   Moore, Philip ^c   Chen, Jing ^a  

^a LANZHOU UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^c BIRMINGHAM CITY UNIVERSITY   (United Kingdom)

Author keywords

Alzheimer dementia; Decision tree; Diagnosis; Magnetic resonance imaging (MRI); Mild cognitive impairment; Ontology

Indexed keywords

BACKPROPAGATION; BAYESIAN NETWORKS; DECISION SUPPORT SYSTEMS; DECISION TREES; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; NEUROIMAGING; ONTOLOGY; SUPPORT VECTOR MACHINES;

10-FOLD CROSS-VALIDATION; ALZHEIMER DEMENTIA; ALZHEIMER'S DISEASE; AUTOMATED PROCEDURES; BACK PROPAGATION NEURAL NETWORKS; CLINICAL DIAGNOSIS; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI);

DIAGNOSIS;

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BAYESIAN LEARNING; BRAIN ATROPHY; BRAIN REGION; CEREBROSPINAL FLUID; CLASSIFICATION ALGORITHM; CLINICAL DEMENTIA RATING; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DAILY LIFE ACTIVITY; DATA PROCESSING; DECISION SUPPORT SYSTEM; DECISION TREE; DIAGNOSTIC REASONING; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GRAY MATTER; HUMAN; MAJOR CLINICAL STUDY; MALE; MEMORY; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; ONTOLOGY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VERY ELDERLY; WHITE MATTER;

ALZHEIMER DEMENTIA; DECISION TREE; DIAGNOSIS; MAGNETIC RESONANCE IMAGING (MRI); MILD COGNITIVE IMPAIRMENT; ONTOLOGY;

ALGORITHMS; ALZHEIMER DISEASE; BAYES THEOREM; BIOLOGICAL ONTOLOGIES; BRAIN; CASE-CONTROL STUDIES; COMPUTATIONAL BIOLOGY; DECISION SUPPORT TECHNIQUES; HUMANS; KNOWLEDGE BASES; MAGNETIC RESONANCE IMAGING; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING;

EID: 84894252987     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.12.023     Document Type: Article

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