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 ...

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.

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis, according to a study ...

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 ...

Please provide your email address to receive an email when new articles are posted on . The model was based on the records of 21,686 adults with asthma. The model had a 0.85 area under the curve, 0.7 ...

Machine learning models can help predict which children diagnosed with childhood asthma before age 5 will continue to experience symptoms as they get older. Researchers have determined that machine ...

A new study published in the Journal of Allergy and Clinical Immunology determines whether protein expression in nasal fluid samples could assist in the diagnosis of asthma subtypes. Asthma is a ...

Machine learning modules can be trained with the use of electronic health record data to differentiate between transient and persistent cases of early childhood asthma Machine learning modules can be ...