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BACKGROUND AND OBJECTIVES Major depression is a prevalent chronic disease in the United States. However, many physicians lack access to decision support tools at point of care to help choose antidepressants in a rational, evidence-based manner. A patient-centered treatment model that uses a symptom-based approach to selecting antidepressants was developed(More)
KeyNet is a distributed directory for secure public key storage, modification, and lookup. Local consistency, and therefore trust, is maintained at scale through the use of byzantine fault tolerance. We discuss an emerging federated byzantine consensus protocol, Stellar, that can enable open participation without sacrificing safety, and present KeyNet’s(More)
The ability to infer meaning from text has long been regarded as one of the “benchmarks” of the quest to artificially approximate human intelligence. The field of Natural Language Inference explores this task by explicitly modeling inference relationships in natural language. In this work, we present the CALYPSO model, which builds upon Chen et al. ’16’s(More)
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