A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision support tools. In this study, we present a machine learning-based strategy for early detection of exacerbations and subsequent triage. Our application uses physician opinion in a statistically and clinically comprehensive set of patient cases to train a supervised prediction algorithm.

Disseminated ulcerations in allergic eosinophilic gastroenterocolitis.

An infant with allergic eosinophilic gastroenterocolitis is described. The patient presented with vomiting, diarrhea, gastrointestinal bleeding, and failure to thrive. Anemia, hypoproteinemia, and peripheral eosinophilia were also present.

Anti-Sdx: a "new" auto-agglutinin related to the Sda blood group.

Two examples of a "new" IgM saline-agglutinating auto-antibody are described. The antibodies bind complement, have the ability to cause in vivo hemolysis, and are most active at room temperature at a pH of about 6.5.