Feb. 12, 2024, 5:43 a.m. | Jodi Chiam Aloysius Lim Cheryl Nott Nicholas Mark Ankur Teredesai Sunil Shinde

cs.LG updates on arXiv.org arxiv.org

The ability to shape health behaviors of large populations automatically, across wearable types and disease conditions at scale has tremendous potential to improve global health outcomes. We designed and implemented an AI driven platform for digital algorithmic nudging, enabled by a Graph-Neural Network (GNN) based Recommendation System, and granular health behavior data from wearable fitness devices. Here we describe the efficacy results of this platform with its capabilities of personalized and contextual nudging to $n=84,764$ individuals over a 12-week period …

co-pilot cs.ai cs.hc cs.lg digital disease global global health gnn graph health network neural network personalized pilot platform recommendation scale types wearable

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