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

[1]  Amiram Gafni,et al.  Behavior Change Techniques , 2013, Encyclopedia of Behavioral Medicine.

[2]  Susan Michie,et al.  Classification systems in behavioural science: current systems and lessons from the natural, medical and social sciences , 2012 .

[3]  Sally Hopewell,et al.  A multicomponent decision tool for prioritising the updating of systematic reviews , 2013, BMJ.

[4]  Sara A Baker,et al.  Clinical effectiveness and cost-effectiveness of foam sclerotherapy, endovenous laser ablation and surgery for varicose veins: results from the Comparison of LAser, Surgery and foam Sclerotherapy (CLASS) randomised controlled trial. , 2015, Health technology assessment.

[5]  Tari Turner,et al.  Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap , 2014, PLoS medicine.

[6]  Robert West,et al.  Outcome criteria in smoking cessation trials: proposal for a common standard. , 2005, Addiction.

[7]  Ben Shneiderman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[8]  Emma Tavender,et al.  The Global Evidence Mapping Initiative: Scoping research in broad topic areas , 2011, BMC medical research methodology.

[9]  R. Tibshirani,et al.  Increasing value and reducing waste in research design, conduct, and analysis , 2014, The Lancet.

[10]  Charles Abraham,et al.  Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative data). , 2015, Health technology assessment.

[11]  C. Abraham,et al.  The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[12]  M. Kubát.  An Introduction to Machine Learning , 2017, Springer International Publishing.

[13]  Thomas Keays,et al.  Semantic Web for the Working Ontologist , 2008 .

[14]  R. West,et al.  Health‐care interventions to promote and assist tobacco cessation: a review of efficacy, effectiveness and affordability for use in national guideline development , 2015, Addiction.

[15]  Arash Shaban-Nejad,et al.  Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective , 2014, MIE.

[16]  Susan Michie,et al.  Behavior change interventions: the potential of ontologies for advancing science and practice , 2017, Journal of Behavioral Medicine.

[17]  L. Hood,et al.  A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. , 2012, New biotechnology.

[18]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[19]  Margaret King,et al.  GENERAL PRINCIPLES OF USER-ORIENTED EVALUATION , 2007 .

[20]  Barbara J. Grosz,et al.  Natural-Language Processing , 1982, Artificial Intelligence.

[21]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Atul J Butte,et al.  Collaborative Biomedicine in the Age of Big Data: The Case of Cancer , 2014, Journal of medical Internet research.

[23]  Werner Ceusters,et al.  Representing Mental Functioning: Ontologies for Mental Health and Disease , 2012 .

[24]  Margaret King,et al.  General Principles of User-Oriented Evaluation Margaret King , 2007 .

[25]  Alexander J. Rothman,et al.  From Theory-Inspired to Theory-Based Interventions: A Protocol for Developing and Testing a Methodology for Linking Behaviour Change Techniques to Theoretical Mechanisms of Action , 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[26]  Deborah M Caldwell,et al.  Approaches for synthesising complex mental health interventions in meta-analysis , 2016, Evidence-Based Mental Health.

[27]  David Moher,et al.  Reducing waste from incomplete or unusable reports of biomedical research , 2014, The Lancet.

[28]  Charles Jochim,et al.  Probability Statements Extraction with Constrained Conditional Random Fields , 2016, MIE.

[29]  Werner Ceusters,et al.  The Emotion Ontology: Enabling Interdisciplinary Research in the Affective Sciences , 2011, CONTEXT.

[30]  Robert Arp,et al.  Building Ontologies with Basic Formal Ontology , 2015 .

[31]  S. Michie,et al.  Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review , 2014, Health psychology review.

[32]  Yassine Lassoued,et al.  Thesaurus-Based Hierarchical Semantic Grouping of Medical Terms in Information Extraction , 2016, MIE.