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BACKGROUND Using machine-learning techniques, clinical diagnostic model research extracts diagnostic models from patient data. Traditionally, patient data are often collected using electronic Case Report Form (eCRF) systems, while mathematical software is used for analyzing these data using machine-learning techniques. Due to the lack of integration between(More)
BACKGROUND Postmarket drug safety surveillance largely depends on spontaneous reports by patients and health care providers; hence, less common adverse drug reactions--especially those caused by long-term exposure, multidrug treatments, or those specific to special populations--often elude discovery. OBJECTIVE Here we propose a low cost, fully automated(More)
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