Machine learning methods for anticipating the psychological distress in patients with alzheimer's disease

Australasian Physical and Engineering Sciences in Medicine

Volumn 29, Issue 4, 2006, Pages 303-309

  Zhou, Xiaolin ^a   Xu, Jie ^b   Zhao, Yongbo ^a  

^a SHANGHAI FIRST PEOPLE S HOSPITAL   (China)

^b TENTH PEOPLE S HOSPITAL OF TONGJI UNIVERSITY   (China)

Author keywords

Alzheimer's disease; Predictor; Psychological distress

Indexed keywords

DECISION THEORY; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

LINEAR REGRESSION; PSYCHOLOGICAL DISTRESS;

DISEASES;

NOOTROPIC AGENT;

ACCURACY; ADULT; AGED; ALCOHOL CONSUMPTION; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CAREGIVER BURDEN; CIGARETTE SMOKING; CONTROLLED STUDY; CORRELATION FUNCTION; DECISION TREE; DISEASE SEVERITY; DISTRESS SYNDROME; FEMALE; HUMAN; INCIDENCE; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MACHINE LEARNING; MALE; PREDICTION; RISK ASSESSMENT; RISK FACTOR;

EID: 33846558031     PISSN: 01589938     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03178395     Document Type: Article

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