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 ...
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 ...
(A, B) LASSO regression identified 22 key genes associated with asthma. (C) The SVM-RFE algorithm identified a total of 26 key genes associated with asthma. (D) The intersection of LASSO and SVM-RFE ...