Background: Cardiovascular disease (CVD) remains the leading cause of death in pregnant and peripartal women in western countries. Physiological changes during pregnancy can lead to cardiovascular complications in the mother; women with pre-existing heart disease may not tolerate these changes well, increasing their susceptibility to adverse cardiovascular outcomes during pregnancy. The aim of this study is to characterize pregnancy-induced changes in cardiac function, biomarker concentrations and cardiovascular outcomes in women with CVD during pregnancy at a tertiary care hospital in Germany.
View Article and Find Full Text PDFIn this paper, we investigate how technology has contributed to experimental economics in the past and illustrate how experimental economics can contribute to technological progress in the future. We argue that with machine learning (ML), a new technology is at hand, where for the first time experimental economics can contribute to enabling substantial improvement of technology. At the same time, ML opens up new questions for experimental research because it can generate previously impossible observations.
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