Literature DB >> 31258970

Information Extraction of Behavior Change Intervention Descriptions.

Debasis Ganguly1, Yufang Hou1, Le A A Deleris1, Francesca Bonin1.   

Abstract

We describe an information extraction (IE) approach for knowledge base population of behavior change scientific intervention findings. In this paper, we focus on building a system able to characterize the specific intervention techniques that are undertaken within behavior change intervention studies. We have investigated three different configurations of a general information retrieval based framework for information extraction: a) an unsupervised approach that hinges on specification of a query for each attribute to be extracted and a few parameters for rule-based post-processing; b) a semi-supervised approach, which uses a part of the ground-truth annotations as a training set to automatically learn optimal representation of the queries; and c) a supervised approach that replaces the rule-based post processing by a text classifier. To train and evaluate our system, we make use of a ground-truth data set annotated by behavior science experts. This dataset consists of a total of 226 research papers on smoking cessation.

Year:  2019        PMID: 31258970      PMCID: PMC6568066     

Source DB:  PubMed          Journal:  AMIA Jt Summits Transl Sci Proc


  2 in total

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

Authors:  Francesca Bonin; Martin Gleize; Yufang Hou; Debasis Ganguly; Ailbhe N Finnerty; Charles Jochim; Alessandra Pascale; Pierpaolo Tommasi; Pol Mac Aonghusa; Susan Michie
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding.

Authors:  Debasis Ganguly; Martin Gleize; Yufang Hou; Charles Jochim; Francesca Bonin; Alessandra Pascale; Pierpaolo Tommasi; Pol Mac Aonghusa; Robert West; Marie Johnston; Mike Kelly; Susan Michie
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21
  2 in total

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