A dynamic nomogram for predicting the risk of asthma: Development and validation in a database study

A dynamic nomogram for predicting the risk of asthma: Development and validation in a database study

Background: Asthma remains a serious health problem with increasing prevalence and incidence. This study was to develop and validate a dynamic nomogram for predicting asthma risk. Methods: Totally 597 subjects whose age ≥18 years old with asthma, an accurate age at first cigarette, and clear smoking...

Full description

Bibliographic Details
Main Authors: Li, M. (Author), Ma, W. (Author), Ren, C. (Author), Yang, L. (Author), Yang, Y. (Author), Zheng, Q. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
Adult
aged
area under the curve
Article
asthma
Asthma
calibration
Calibration
clinical decision making
Clinical Decision-Making
controlled study
data base
Databases as Topic
disease risk assessment
dynamic nomogram
factual database
family history
female
Female
groups by age
human
Humans
Logistic Models
major clinical study
male
Male
middle aged
Middle Aged
multivariate logistic regression analysis
NHANES database
nomogram
Nomograms
prediction
predictor variable
probability
receiver operating characteristic
risk factor
Risk Factors
ROC Curve
sensitivity analysis
sex difference
smoking
smoking duration
statistical model
validation study
young adult
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items