Background: Machine learning (ML) employs algorithms that learn from data, building models with the potential to predict events by aggregating a large number of variables and assessing their complex interactions. The aim of this study is to assess ML potential in identifying patients with ischemic heart disease (IHD) at high risk of cardiac death (CD).
Methods: 3987 (mean age 68 ± 11) hospitalized IHD patients were enrolled.
A 30-day feeding trial was designed to evaluate the effect of supplemental fulvic acid (FA) on survival, growth performance, digestive ability and immunity of large yellow croaker () larvae (initial body weight 11.33 ± 0.57 mg).
View Article and Find Full Text PDFAn increasing concentration of lead (Pb) in urban contaminated soil due to anthropogenic activities has been a global issue threatening human health. The use of urban ornamental plants as phytoremediation of Pb-contaminated soil is a new choice. In the present experiment, the physiological and biochemical response of five ornamental plants to increase in concentrations of CHOPb·HO in the soil were measured to investigate these plans' Pb tolerance strategies and abilities.
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