Key Variables: 'Race' and 'General Health' emerged as ... Nose' as the most influential variable for early asthma detection, with the model’s predictions aligning closely with observed data. Logistic ...

to predict asthma attack using routinely collected primary care data. It will fill an important gap in the evidence base, as similar studies carried out to-date have utilised single models (primarily ...

Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients ... In the experiment, predictive models, including logistic regression, random forest, ...

The logistic regression model is freely available on the internet and may offer a useful but inexpensive adjunct to the prediction of occupational asthma hazard. HMW, high molecular weight LMW, low ...