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Open AccessUsing time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii
Accurately distinguishing between pulmonary infection and colonization in patients with Acinetobacter baumannii is of utmost importance to optimize treatment and prevent antibiotic abuse or inadequate therapy. An...
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Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms
To evaluate the performance of interpretable machine learning models in predicting breast cancer molecular subtypes.