| Autor: |
West, Robert, Michie, Susan, Shawe-Taylor, John, Thomas, James, Finnerty, Ailbhe, Johnston, Marie, Aonghusa, Pol, O'Mara-Eves, Alison, Stokes, Gillian, Norris, Emma, Marques, Marta, Kelly, Michael, Ganguly, Debasis, Moore, Candice, Hou, Yufang, Bonin, Francesca, Wright, Alison, Veall, Clement, Zink, Silje, Schenk, Paulina |
| Rok vydání: |
2022 |
| Předmět: |
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| DOI: |
10.17605/osf.io/uxwdb |
| Popis: |
The Human Behaviour-Change Project (HBCP) is creating an online Knowledge System that uses Artificial Intelligence, in particular Natural Language Processingand Machine Learning, to extract information from behaviour change intervention evaluation reports to answer key questions about the evidence. It is a collaboration between behavioural scientists, computer scientists and system architects.The Knowledge System is being curated with annotations of published reports according to the Behaviour Change Intervention Ontology also being developed as part of the project. The ontology is used to organise knowledge contained in behaviour change intervention evaluation reports.The Knowledge System will continually search publication databases to find behaviour change intervention evaluation reports, extract and synthesise the findings, provide up-to-date answers to questions, and draw inferences about behaviour change. Practitioners, policy makers and researchers will be able to query the system to obtain answers to variants of the key question: ‘What intervention(s) work, compared with what, how well, with what exposure, with what behaviours, for how long, for whom, in what settings and why? |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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