An intelligent system approach for asthma prediction in symptomatic preschool children

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Chatzimichail, E ^a   Paraskakis, E ^a   Sitzimi, M ^a   Rigas, A ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; FORECASTING; HEALTH RISKS; INTELLIGENT SYSTEMS; LEAST SQUARES APPROXIMATIONS; SUPPORT VECTOR MACHINES;

10-FOLD CROSS-VALIDATION; CLASSIFICATION ACCURACY; DECISION SUPPORT TOOLS; DIMENSION REDUCTION; LEAST SQUARE SUPPORT VECTOR MACHINES; OUTCOME PREDICTION; PREDICTIVE ABILITIES; PRESCHOOL CHILDREN;

DISEASES;

ALLERGEN; ANTIHISTAMINIC AGENT; BRONCHODILATING AGENT; LEUKOTRIENE RECEPTOR BLOCKING AGENT;

AGE; ALLERGIC CONJUNCTIVITIS; ALLERGIC RHINITIS; ALTERNARIA; ARTICLE; ASTHMA; BODY HEIGHT; BODY WEIGHT; BREAST FEEDING; CAT; CHILD; CHILDHOOD; CORTICOSTEROID THERAPY; COUGHING; DERMATOPHAGOIDES PTERONYSSINUS; DIAGNOSTIC ACCURACY; DOG; DYSPNEA; ECZEMA; ETHNICITY; FAMILY HISTORY; FOOD ALLERGY; FORCED EXPIRATORY VOLUME; GENDER; HIGH RISK PATIENT; HUMAN; KOCHIA SCOPARIA; LEAST SQUARE SUPPORT VECTOR MACHINE CLASSIFIER; MATERNAL SMOKING; NOSE OBSTRUCTION; OLIVE; OUTCOME ASSESSMENT; PET ANIMAL; PINE; POACEAE; PREDICTION; PRESCHOOL CHILD; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; RESIDENTIAL AREA; RHINORRHEA; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; WAIST CIRCUMFERENCE; WHEEZING; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; FEMALE; MALE; PATHOPHYSIOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICAL MODEL;

ASTHMA; CHILD, PRESCHOOL; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LEAST-SQUARES ANALYSIS; MALE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84876543129     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/240182     Document Type: Article

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