Challenges in identifying asthma subgroups using unsupervised statistical learning techniques

American Journal of Respiratory and Critical Care Medicine

Volumn 188, Issue 11, 2013, Pages 1303-1312

  Prosperi, Mattia C F ^a,b   Sahiner, Umit M ^c   Belgrave, Danielle ^a,b   Sackesen, Cansin ^c   Buchan, Iain E ^a   Simpson, Angela ^b   Yavuz, Tolga S ^c   Kalayci, Omer ^c   Custovic, Adnan ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Asthma; Children; Clustering; Endotypes; Machine learning

Indexed keywords

BECLOMETASONE; BUDESONIDE; FLUTICASONE; LONG ACTING BETA2 AGONIST; LONG ACTING DRUG; METHACHOLINE; MONTELUKAST; SHORT ACTING BETA2 AGONIST; SHORT ACTING DRUG; TOBACCO SMOKE; UNCLASSIFIED DRUG;

ADOLESCENT; ADULT; ALLERGIC CONJUNCTIVITIS; ALLERGIC RHINITIS; ARTICLE; ASTHMA; ATOPY; BODY MASS; CHILD; COMORBIDITY; CONTROLLED STUDY; DISEASE COURSE; DISEASE EXACERBATION; DISEASE SEVERITY; ECZEMA; ENVIRONMENTAL EXPOSURE; EXPLORATORY FACTOR ANALYSIS; FAMILY HISTORY; FEMALE; FORCED EXPIRATORY FLOW; FORCED EXPIRATORY VOLUME; HIERARCHICAL CLUSTERING; HUMAN; INFLAMMATORY DISEASE; LUNG FUNCTION; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OBESITY; PRESCHOOL CHILD; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RESPIRATORY TRACT ALLERGY; SCHOOL CHILD; URTICARIA;

ANALYSIS OF VARIANCE; ASTHMA; BAYES THEOREM; CHILD; CLUSTER ANALYSIS; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; MALE; PHENOTYPE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; SEVERITY OF ILLNESS INDEX; TURKEY;

EID: 84890083503     PISSN: 1073449X     EISSN: 15354970     Source Type: Journal    
DOI: 10.1164/rccm.201304-0694oc     Document Type: Article

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