[1] Adams, A., Buckingham, C.D., Arber, A.,Mckinlay, J.B.,Marceau, L.&Link, C. (2006). The influence of patient s age on clinical decision-making about coronary heart disease in the USA and the UK. Ageing & Society, 26, 303-321.
[2] Ann Adams, Christopher D. Buckingham, Antje Lindenmeyer, John B. McKinlay, Carol Link, Lisa Marceau, & Sara Arber (2008). The influence of patient and doctor gender on diagnosing coronary heart disease. Sociology of Health & Illness, 30(1), 1-18.
[3] Buckingham, C.D. & Adams, A.E. (2000). Classifying Clinical Decision Making: A Unifying Approach. Journal of Advanced Nursing, 32(4), 981-989.
[4] Buckingham, C.D. (2002). Psychological cue use and implications for a clinical decision support system. Medical Informatics and the Internet in Medicine, 27(4), 237-251.
[5] Buckingham, C.D., Ahmed, A., & Adams, A.E. (2007). Using XML and XSLT for flexible elicitation of mental-health risk knowledge. Medical Informatics and the Internet in Medicine, 32(1), 65-81.
[6] Buckingham, C. D., Adams, A.E. & Mace, C. (2008). Cues and knowledge structures used by mental-health professionals when making risk assessments. Journal of Mental Health, 17 (3): 299-314.
[7] Gilbert E, Adams A and Buckingham C.D. (in press). Examining the relationship between risk assessment and risk management in mental health . Journal of Psychiatric and Mental Health Nursing.
[8] Hegazy, S.E. & Buckingham, C.D. (2009). A method for automatically eliciting node weights in a
hierarchical knowledge-based structure for reasoning with uncertainty. International Journal on Advances in Software, 2(1), 76-83.
[9] Obembe, O. and Buckingham, C. D. (2010). Developing a Probabilistic Graphical Structure from a Model of Mental-Health Clinical Risk Expertise . In Knowledge-Based and Intelligent Information and Engineering Systems. Rossitza Setchi, Ivan Jordanov, Robert J. Howlett and Lakhmi C. Jain, Eds. Lecture Notes In Computer Science. Heidelberg:Springer, vol 6279, pp 88-97.