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 ...

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 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 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 ...

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 ...

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 ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to balance transaction accuracy and scalability. By decoupling system components and ...

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

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 ...