Skip to main content

Table 6 Variable importance using logistic regression to predict the asthma diagnosis more accurately

From: Increasing the accuracy of the asthma diagnosis using an operational definition for asthma and a machine learning method

 

Coefficient

P-value

(Intercept)

 − 0.56

0.32552

PFT

 − 0.0538

0.91038

ICSLABA

1.4263

0.00007

ICS

1.3623

0.02046

LABA

 − .05754

0.70679

LAMA

 − 1.463

0.00005

LABALAMA

 − 1.0956

0.6184

SAMA

 − 1.4257

0.18140

SABA

 − 0.2296

0.60339

Theophylline

0.3295

0.38583

LTRA

0.5134

0.07581

Systemic beta agonist

 − 0.5349

0.44372

Systemic steroid

 − 0.9765

0.08474

  1. ICS Inhaled corticosteroid, LABA Long-acting beta2-agonist, LAMA Long-acting muscarinic antagonist, LTRA Leukotriene receptor antagonist, SABA Short-acting beta2-agonist, SAMA Short-acting muscarinic antagonist
Back to article page

BMC Pulmonary Medicine

ISSN: 1471-2466

Contact us