The Human Behaviour-Change Project : harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation
| dc.contributor.author | Michie, Susan | |
| dc.contributor.author | Thomas, James | |
| dc.contributor.author | Johnston, Marie | |
| dc.contributor.author | Mac Aonghusa, Pol | |
| dc.contributor.author | Shawe-Taylor, John | |
| dc.contributor.author | Kelly, Michael P. | |
| dc.contributor.author | Deleris, Léa A. | |
| dc.contributor.author | Finnerty, Ailbhe N. | |
| dc.contributor.author | Marques, Marta M. | |
| dc.contributor.author | Norris, Emma | |
| dc.contributor.author | O'Mara-Eves, Alison | |
| dc.contributor.author | West, Robert | |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en | 
| dc.date.accessioned | 2017-10-25T10:10:14Z | |
| dc.date.available | 2017-10-25T10:10:14Z | |
| dc.date.issued | 2017-10-18 | |
| dc.description | The project is funded by a Wellcome Trust collaborative award [The Human Behaviour-Change Project: Building the science of behaviour change for complex intervention development’, 201,524/Z/16/Z]. During the preparation of the manuscript RW’s salary was funded by Cancer Research UK. | en | 
| dc.description.status | Peer reviewed | en | 
| dc.format.extent | 12 | |
| dc.format.extent | 749476 | |
| dc.identifier | 110468093 | |
| dc.identifier | e63b7767-f078-4c8b-84d8-051ad49156ed | |
| dc.identifier | 85034114839 | |
| dc.identifier.citation | Michie, S, Thomas, J, Johnston, M, Mac Aonghusa, P, Shawe-Taylor, J, Kelly, M P, Deleris, L A, Finnerty, A N, Marques, M M, Norris, E, O'Mara-Eves, A & West, R 2017, 'The Human Behaviour-Change Project : harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation', Implementation Science, vol. 12, 121, pp. 1-12. https://doi.org/10.1186/s13012-017-0641-5 | en | 
| dc.identifier.doi | 10.1186/s13012-017-0641-5 | |
| dc.identifier.issn | 1748-5908 | |
| dc.identifier.other | ORCID: /0000-0003-0124-4827/work/175114023 | |
| dc.identifier.uri | http://hdl.handle.net/2164/9499 | |
| dc.identifier.vol | 12 | en | 
| dc.language.iso | eng | |
| dc.relation.ispartof | Implementation Science | en | 
| dc.subject | SDG 3 - Good Health and Well-being | en | 
| dc.subject | Behaviour change interventions | en | 
| dc.subject | Implementation | en | 
| dc.subject | Ontology | en | 
| dc.subject | Machine learning | en | 
| dc.subject | Natural language processing | en | 
| dc.subject | Evidence synthesis | en | 
| dc.subject | Artificial intelligence | en | 
| dc.subject | R Medicine (General) | en | 
| dc.subject | Wellcome Trust | en | 
| dc.subject | 201,524/Z/16/Z | en | 
| dc.subject | Cancer Research UK | en | 
| dc.subject.lcc | R1 | en | 
| dc.title | The Human Behaviour-Change Project : harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation | en | 
| dc.type | Journal article | en | 
