The 13th Workshop on Visual Analytics in Healthcare (VAHC 2022)

Towards Real-time Visual Exploration of Multiple Pairwise Meta-analysis Results of Clinical Outcomes

Huan He, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mahnoor Islam, M. Hassan Murad, Hongfang Liu

Abstract: An interactive and balanced presentation and interpretation of results from a pairwise meta-analysis (PWMA) can immensely facilitate evidence synthesizing in clinical research and practice. However, exploring the PWMA results for clinicians and researchers is challenging as the complexity of clinical questions increases and the vast number of involved studies and outcomes. In response, we proposed a web-based visual analytics system to facilitate the real-time exploration of massive PWMA results.

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