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Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking

Francesca Bonin¹, Martin Gleize¹, Yufang Hou¹

¹IBM Research Europe, Dublin, Ireland.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|May 3, 2021

Abstract:

Due to the fast pace at which randomized controlled trials are published in the health domain, researchers, consultants and policymakers would benefit from more automatic ways to process them by both extracting relevant information and automating the meta-analysis processes. In this paper, we present a novel methodology based on natural language processing and reasoning models to 1) extract relevant information from RCTs and 2) predict potential outcome values on novel scenarios, given the extracted knowledge, in the domain of behavior change for smoking cessation.

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