People with hard-to-treat asthma often have to use medicines such as systemic steroids that broadly suppress the immune ...

A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

Asthma can be predicted using non-biological measurements from the age of 3 years, according to one study. Machine learning models can predict physician-diagnosed asthma in early childhood, a recent ...

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

Please provide your email address to receive an email when new articles are posted on . A machine learning classifier was trained on capnogram features. The model’s probability output inversely ...

Machine learning can predict the risk for developing asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.

Identification of SIK1 as a signature gene in asthma by machine learning. (IMAGE) Compuscript Ltd Caption (A, B) LASSO regression identified 22 key genes associated with asthma. (C) The SVM-RFE ...

Please provide your email address to receive an email when new articles are posted on . AI model training involved skin prick test, allergen-specific IgE and serum component protein data. Deep vs.