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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases

Fig. 1

This figure presents the pipeline of our framework. The framework contains three main components: (1) establishing clinical drug effect vectors by applying a continuous self-controlled case series model on a longitudinal electronic health record data (EHR), (2) establishing clinical disease sign vectors by applying a Wilcoxon rank sum test on a large-scale national survey data (NHANES), (3) computing repurposing possibility score for each drug-disease pair by applying a dot product-based scoring function on clinical disease sign vectors and clinical drug effect vectors. We do a terminology mapping before we establish the clinical drug effect vectors and clinical disease sign vectors to make sure each clinical vector includes the same laboratory tests. There are three kinds of relation types in the clinical vectors (“Up”, “Down”, “No”), which represent increasing, decreasing and not significantly changing laboratory tests level, respectively

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