Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Challenges in interpreting wheeze phenotypes: the clinical implications of statistical learning techniques.

Literature DB >> 24428643

Challenges in interpreting wheeze phenotypes: the clinical implications of statistical learning techniques.

Danielle Belgrave¹, Angela Simpson, Adnan Custovic.

Abstract

Entities: Chemical

Mesh：

Year: 2014 PMID： 24428643 DOI： 10.1164/rccm.201312-2206ED

Source DB: PubMed Journal: Am J Respir Crit Care Med ISSN： 1073-449X Impact factor: 21.405

Keyword Cloud
Cited

× No keyword cloud information.

8 in total

1. Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis.

Authors: Hannah Clark; Raquel Granell; John A Curtin; Danielle Belgrave; Angela Simpson; Clare Murray; A John Henderson; Adnan Custovic; Lavinia Paternoster
Journal: Clin Exp Allergy Date: 2019-10-15 Impact factor: 5.018

2. A clustering approach to identify severe bronchiolitis profiles in children.

Authors: Orianne Dumas; Jonathan M Mansbach; Tuomas Jartti; Kohei Hasegawa; Ashley F Sullivan; Pedro A Piedra; Carlos A Camargo
Journal: Thorax Date: 2016-06-23 Impact factor: 9.139

Review 3. Distinguishing Asthma Phenotypes Using Machine Learning Approaches.

Authors: Rebecca Howard; Magnus Rattray; Mattia Prosperi; Adnan Custovic
Journal: Curr Allergy Asthma Rep Date: 2015-07 Impact factor: 4.806

Review 4. The Study Team for Early Life Asthma Research (STELAR) consortium 'Asthma e-lab': team science bringing data, methods and investigators together.

Authors: Adnan Custovic; John Ainsworth; Hasan Arshad; Christopher Bishop; Iain Buchan; Paul Cullinan; Graham Devereux; John Henderson; John Holloway; Graham Roberts; Steve Turner; Ashley Woodcock; Angela Simpson
Journal: Thorax Date: 2015-03-24 Impact factor: 9.139

Challenges in interpreting wheeze phenotypes: the clinical implications of statistical learning techniques.

1. Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis.

2. A clustering approach to identify severe bronchiolitis profiles in children.

Review 3. Distinguishing Asthma Phenotypes Using Machine Learning Approaches.

Review 4. The Study Team for Early Life Asthma Research (STELAR) consortium 'Asthma e-lab': team science bringing data, methods and investigators together.

5. Relationship between cytokine expression patterns and clinical outcomes: two population-based birth cohorts.

6. Disaggregating asthma: Big investigation versus big data.

7. Features of asthma which provide meaningful insights for understanding the disease heterogeneity.

8. Causes of variability in latent phenotypes of childhood wheeze.