https://www.selleckchem.com/pr....oducts/LY315920(Vare
With the increasingly available electronic medical records (EMRs), disease prediction has recently gained immense research attention, where an accurate classifier needs to be trained to map the input prediction signals (e.g., symptoms, patient demographics, etc.) to the estimated diseases for each patient. However, existing machine learning-based solutions heavily rely on abundant manually labeled EMR training data to ensure accurate prediction results, impeding their performance in the existence of rare diseases that are
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