Predicting response to short-acting bronchodilator medication using Bayesian networks

Pharmacogenomics

Volumn 10, Issue 9, 2009, Pages 1393-1412

  Himes, Blanca E ^a,b,c,d   Wu, Ann Chen ^b,e   Duan, Qing Ling ^d   Klanderman, Barbara ^d   Litonjua, Augusto A ^d   Tantisira, Kelan ^d   Ramoni, Marco F ^a,b,c   Weiss, Scott T ^c,d  

^a HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c LABORATORY FOR MOLECULAR MEDICINE   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

2 agonists; Asthma; Bayesian networks; Bronchodilator response; Prediction

Indexed keywords

BETA ADRENERGIC RECEPTOR STIMULATING AGENT; BRONCHODILATING AGENT; SALBUTAMOL; SHORT ACTING DRUG;

ACCURACY; ARTICLE; ASTHMA; BAYES THEOREM; CAUCASIAN; CHILD; CONTROLLED STUDY; DRUG EFFECT; DRUG RESPONSE; FEMALE; GENE INTERACTION; GENETIC ASSOCIATION; GENETIC MODEL; GENETIC VARIABILITY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE ANALYSIS; PHARMACOGENETICS; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SCHOOL CHILD; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; VALIDATION STUDY;

ASTHMA; BAYES THEOREM; BRONCHODILATOR AGENTS; CHILD; DATA INTERPRETATION, STATISTICAL; FEMALE; GENETIC VARIATION; GENOTYPE; HUMANS; LOGISTIC MODELS; MALE; NEURAL NETWORKS (COMPUTER); PHARMACOGENETICS; POLYMORPHISM, SINGLE NUCLEOTIDE; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RESPIRATORY FUNCTION TESTS;

EID: 70649105577     PISSN: 14622416     EISSN: 17448042     Source Type: Journal    
DOI: 10.2217/pgs.09.93     Document Type: Article

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