Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jan 25:2020:253-262.
eCollection 2020.

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

Francesca Bonin  1 , Martin Gleize  1 , Yufang Hou  1 , Debasis Ganguly  1 , Ailbhe N Finnerty  2 , Charles Jochim  1 , Alessandra Pascale  1 , Pierpaolo Tommasi  1   2 , Pol Mac Aonghusa  1 , Susan Michie  2
Affiliations

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

Francesca Bonin et al. AMIA Annu Symp Proc. .

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.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
Overall pipeline of the knowledge system
Figure 2:
Figure 2:
Knowledge extraction module workflow
See this image and copyright information in PMC

References

    1. Bastian H, Glasziou P, Chalmers I. Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? PLOS Medicine. 2010 09;7(9):1–6. - PMC - PubMed
    1. Higgins JPT, Thomas J, editors. Cochrane Handbook for Systematic Reviews of Interventions. Wiley-Blackwell: Wiley Cochrane Series; 2019. 2nd ed.
    1. Allen IE, Olkin I. Estimating time to conduct a meta-analysis from number of citations retrieved. Jama. 1999;282(7):634–635. - PubMed
    1. Borah R, Brown AW, Capers PL, Kaiser KA. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ open. 2017;7(2):e012545. - PMC - PubMed
    1. Glasziou P, Altman DG, Bossuyt P, Boutron I, Clarke M, Julious S, et al. Reducing waste from incomplete or unusable reports of biomedical research. The Lancet. 2014;383(9913):267–276. - PubMed

Publication types

LinkOut - more resources