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 ...

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 ...

Today, with the growth of societies, diseases are increasing in terms of diversity and the number of people involved. One of the diseases that has become extremely common is asthma 1. The immune ...

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 ...

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 ...

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 ...

Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understanding the genetic and molecular mechanisms of severe asthma may help identify therapeutic strategies ...

A machine learning (ML) model (XGBoost) showed a modest but statistically significant improvement over a conventional regression model in predicting 180‑day readmissions among children hospitalized ...

A novel machine learning algorithm using real-world outpatient data from electronic health records was capable of predicting asthma exacerbation risk. A novel machine learning algorithm using ...

A new generation of drugs could ‘switch off’ asthma, effectively curing it. That would mean no more puffers and no more flare ...

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 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 ...