The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation-Reference-Cited by-同舟云学术

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

Published:2017-10-18 Issue:1 Volume:12 Page:
ISSN:1748-5908
Container-title:Implementation Science
language:en
Short-container-title:Implementation Sci

Author:

Michie Susan,Thomas James,Johnston Marie,Aonghusa Pol Mac,Shawe-Taylor John,Kelly Michael P.,Deleris Léa A.,Finnerty Ailbhe N.,Marques Marta M.,Norris Emma,O’Mara-Eves Alison,West Robert

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Informatics,Health Policy,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13012-017-0641-5.pdf

Reference43 articles.

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2. The Lancet. www.thelancet.com/campaigns/efficiency/statement . Accessed 21 July 2017.

3. Elliott JH, Turner T, Clavisi O, et al. Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap. PLoS Med. 2014;11(2):e1001603.

4. Bragge P, Clavisi O, Turner T, Tavender E, Collie A, Gruen RL. The Global Evidence Mapping Initiative: scoping research in broad topic areas. BMC Med Res Methodol. 2011;11:92.

5. Takwoingi Y, Hopewell S, Tovey D, Sutton AJ. A multicomponent decision tool for prioritising the updating of systematic reviews. BMJ. 2013;347:f7191.

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