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

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      s13012_017_0641_5.pdf (731.9Kb)
      Publication date
      18/10/2017
      Author
      Michie, Susan
      Thomas, James
      Johnston, Marie
      Mac Aonghusa, Pol
      Shawe-Taylor, John
      Kelly, Michael P.
      Deleris, Léa A.
      Finnerty, Ailbhe N.
      Marques, Marta M.
      Norris, Emma
      O'Mara-Eves, Alison
      West, Robert
      Metadata
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      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
      URI
      http://hdl.handle.net/2164/9499
      DOI
      https://doi.org/10.1186/s13012-017-0641-5
      Rights
      © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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