Abstract Machine learning studies automatic algorithms that improve themselves through
experience. It is widely used for analyzing and extracting value from large biomedical data …

Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

Background Asthma is the most common pediatric chronic disease affecting 9.6% of
American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma …

The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …

Purpose We present guidelines for the management of infants under 12 months of age with
severe bronchiolitis with the aim of creating a series of pragmatic recommendations for a …

Purpose Machine learning is broadly used for clinical data analysis. Before training a model,
a machine learning algorithm must be selected. Also, the values of one or more model …

Importance RSV is a common illness among young children that causes significant morbidity
and health care costs. Objective Routinely collected health administrative data can be used …

Background Bronchiolitis is the most common reason for hospitalization of children
worldwide. Many scoring systems have been developed to quantify respiratory distress and …

Infections encompass a set of medical conditions of very diverse kinds that can pose a
significant risk to health, and even death. As with many other diseases, early diagnosis can …

Background Predictive modeling is fundamental to transforming large clinical data sets, or
“big clinical data,” into actionable knowledge for various healthcare applications. Machine …