Dr Malcolm Sim
- Honorary Professor (School of Medicine, Dentistry & Nursing)
Publications
2023
Andonovic, M., Curle, J., Traynor, J. P., Shaw, M., Sim, M. A.B., Mark, P. B. and Puxty, K. A. (2023) Impact of acute kidney injury on major adverse cardiovascular events in intensive care survivors. BJA Open, 8, 100243. (doi: 10.1016/j.bjao.2023.100243) (PMID:38143792) (PMCID:PMC10746363)
Sylolypavan, A., Sleeman, D., Wu, H. and Sim, M. (2023) The impact of inconsistent human annotations on AI driven clinical decision making. npj Digital Medicine, 6, 26. (doi: 10.1038/s41746-023-00773-3) (PMID:36810915) (PMCID:PMC9944930)
Docherty, C. et al. (2023) The relationship between pain, anxiety and depression in patients with post-intensive care syndrome. Journal of Critical Care, 78, 154359. (doi: 10.1016/j.jcrc.2023.154359) (PMID:37356416)
Henderson, P. et al. (2023) Evaluation of a heath and social care programme to improve outcome following critical illness: a multicentre study. Thorax, 78(2), pp. 160-168. (doi: 10.1136/thoraxjnl-2021-218428) (PMID:35314485) (PMCID:PMC9872253)
Docherty, C. et al. (2023) Evaluating pain in survivors of critical illness: the correlation between the EQ-5D-5L and the brief pain inventory. BMJ Open Respiratory Research, 10, e001426. (doi: 10.1136/bmjresp-2022-001426) (PMID:36653059) (PMCID:PMC9853256)
2022
Andonovic, M., Traynor, J. P., Shaw, M., Sim, M. A.B., Mark, P. B. and Puxty, K. A. (2022) Short- and long-term outcomes of intensive care patients with acute kidney disease. EClinicalMedicine, 44, 101291. (doi: 10.1016/j.eclinm.2022.101291) (PMID:35198917) (PMCID:PMC8850318)
2021
Niemi, M. E. K. et al. (2021) Mapping the human genetic architecture of COVID-19. Nature, 600(7889), pp. 472-477. (doi: 10.1038/s41586-021-03767-x) (PMID:34237774) (PMCID:PMC8674144)
McCreath, G., Whitfield, P. D. , Roe, A. J. , Watson, M. J. and Sim, M. A.B. (2021) A Metabolomics approach for the diagnosis Of SecondAry InfeCtions in COVID-19 (MOSAIC): a study protocol. BMC Infectious Diseases, 21, 1204. (doi: 10.1186/s12879-021-06832-y)
McPeake, J. et al. (2021) Long-term outcomes following severe COVID-19 infection: a multicentre cohort study of family member outcomes. Annals of the American Thoracic Society, 18(12), pp. 2098-2101. (doi: 10.1513/AnnalsATS.202104-481RL) (PMID:34192506) (PMCID:PMC8641813)
Singh, S. , Andonovic, M., Traynor, J., Shaw, M., Sim, M., Mark, P. and Puxty, K. (2021) Comparison of De‑novo Acute Kidney Injury in Intensive Care Patients Requiring and not Requiring Renal Replacement Therapy. ESICM LIVES 2021 34th Annual Congress, 3-6 October 2021. (doi: 10.1186/s40635-021-00413-8)
Andonovic, M., Shemilt, R., Sim, M., Traynor, J. P., Shaw, M., Mark, P. B. and Puxty, K. A. (2021) Timing of renal replacement therapy for patients with acute kidney injury: a systematic review and meta-analysis. Journal of the Intensive Care Society, 22(1), pp. 67-77. (doi: 10.1177/1751143720901688) (PMID:33643435) (PMCID:PMC7890756)
McPeake, J. et al. (2021) Long-term outcomes following severe COVID-19 infection: a propensity matched cohort study. BMJ Open Respiratory Research, 8, e001080. (doi: 10.1136/bmjresp-2021-001080)
2020
Sleeman, D., Kostadinov, K., Moss, L. and Sim, M. (2020) Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. In: 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), Valletta, Malta, 24-26 Feb 2020, pp. 66-76. ISBN 9789897583988 (doi: 10.5220/0008922000660076)
2017
Docherty, A. B., Sim, M., Oliveira, J., Adlam, M., Ostermann, M., Walsh, T. S., Kinsella, J. and Lone, N. I. (2017) Early troponin I in critical illness and its association with hospital mortality: a cohort study. Critical Care, 21, 216. (doi: 10.1186/s13054-017-1800-4) (PMID:28814347) (PMCID:PMC5559840)
2016
Wessely, S., Sim, M., Bergman, B., Castro, C., MacManus, D., Armour, C., Venables, K. and Fear, N. (2016) Panel Discussion and Summing-Up: Opportunities for Epidemiology in Studying the Transition from Military to Civilian Life. Occupational Health: Think Globally, Act Locally (EPICOH 2016), Barcelona, Spain, 4-7 Sept 2016. A101.1-A101. (doi: 10.1136/oemed-2016-103951.272)
2012
Sleeman, D., Moss, L. , Aiken, A., Hughes, M., Kinsella, J. and Sim, M. (2012) Detecting and resolving inconsistencies between domain experts’ different perspectives on (classification) tasks. Artificial Intelligence in Medicine, 55(2), pp. 71-86. (doi: 10.1016/j.artmed.2012.03.001)
Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) An investigation into the effects of commencing haemodialysis in the critically ill. Critical Care, 16(Suppl1), P359. (doi: 10.1186/cc10966)
Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) Investigation in haemodynamic stability during intermittent haemodialysis in the critically ill. Critical Care, 16(Sup. 1), p. 371. (doi: 10.1186/cc10978) (PMCID:PMC3363789)
Moss, L. , Sleeman, D., Sim, M. and Kinsella, J. (2012) Using cardiovascular derangements to predict raised troponin levels. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 46-55.
2011
Sim, M., Moss, L. , Docking, R., Henderson, K., McCallum, J., Sleeman, D. and Kinsella, J. (2011) 596: A novel system for detecting myocardial damage in the critically ill patient. Critical Care Medicine, 39(S12), p. 164. (doi: 10.1097/01.ccm.0000408627.24229.88)
Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying Myocardial Damage from Routinely Recorded Data in the Intensive Care Unit (ICU). Intensive Care Medicine, 37(S1), S213. (doi: 10.1007/s00134-011-2322-1)
Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying myocardial damage from routinely recorded data in the intensive care unit (ICU). Intensive Care Medicine, 37(S1), S213-S213.
Sleeman, D., Moss, L. , Sim, M. and Kinsella, J. (2011) Predicting Adverse Events: Detecting Myocardial Damage in Intensive Care Unit (ICU) Patients. In: K-CAP 2011: The Sixth International Conference on Knowledge Capture, Banff, Alberta, Canada, 25-29 Jun 2011, pp. 73-80. ISBN 9781450303965 (doi: 10.1145/1999676.1999690)
Moss, L. , Grando, M.A., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Formalizing and Understanding Collaborative Decision Making in the Intensive Care Unit (ICU). Scottish Intensive Care Society Annual Meeting, St Andrews, UK, Jan 2011.
Grando, M. A., Moss, L. , Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. In: 13th Conference on Artificial Intelligence in Medicine (AIME 2011), Bled, Slovenia, 2-3 Jul 2011, pp. 35-44. ISBN 9783642222177 (doi: 10.1007/978-3-642-22218-4_5)
2010
Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowledge-Based Systems, 23(4), pp. 309-315. (doi: 10.1016/j.knosys.2009.11.009)
Moss, L. , Sleeman, D., Sim, M., Booth, M., Donaldson, L., Gilhooly, L., Hughes, M. and Kinsella, J. (2010) Transforming Clinical Anomalies into Clinical Insights: Developing a Knowledge-based System Which Explains a Patient’s Unexpected Reaction to Treatment. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.
Sim, M., Moss, L. , Aitken, A., Kinsella, J. and Sleeman, D. (2010) Intermittent Haemodialysis May be Associated With Increased Haemodynamic Stability. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.
Moss, L. , Sleeman, D. and Sim, M. (2010) Reasoning by analogy in the generation of domain acceptable ontology refinements. Lecture Notes in Computer Science, 6317, pp. 534-543. (doi: 10.1007/978-3-642-16438-5_43)
Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C. , Hughes, M. and Kinsella, J. (2010) Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. In: 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2009), Cambridge, UK, 15-17 Dec 2009, pp. 63-76. ISBN 9781848829824 (doi: 10.1007/978-1-84882-983-1_5)
Sleeman, D., Aiken, A., Moss, L. , Kinsella, J. and Sim, M. (2010) A system to detect inconsistencies between a domain expert’s different perspectives on (classification) tasks. Studies in Computational Intelligence, 263, pp. 293-314. (doi: 10.1007/978-3-642-05179-1_14)
2009
Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56. (doi: 10.1258/rsmsmj.54.2.53)
Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56.
Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the Development of Medical Ontologies. In: Formal Ontologies Meet Industry (FOMI 2009), Vicenza, Italy, 2 Sep 2009, pp. 114-125. ISBN 9781607500476
Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the development of medical ontologies. In: Ferrario, R. and Oltramari, A. (eds.) Formal Ontologies Meet Industry. Series: Frontiers in artificial intelligence and applications (198). IOS Press: Washington, DC, pp. 114-125. ISBN 9781607500476 (doi: 10.3233/978-1-60750-047-6-114)
Moss, L. , Sleeman, D., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M., Sim, M. and Kinsella, J. (2009) Explaining anomalous responses to treatment in the Intensive Care Unit. Lecture Notes in Computer Science, 5651, pp. 250-254. (doi: 10.1007/978-3-642-02976-9_36)
2008
Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: an Architecture for Clinical Hypothesis Examination. In: 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, June 17-19, 2008,
Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: An Architecture for Clinical Hypothesis Examination. In: 2008 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, 17-19 Jun 2008, pp. 158-160. ISBN 9780769531656 (doi: 10.1109/CBMS.2008.100)
Articles
Andonovic, M., Curle, J., Traynor, J. P., Shaw, M., Sim, M. A.B., Mark, P. B. and Puxty, K. A. (2023) Impact of acute kidney injury on major adverse cardiovascular events in intensive care survivors. BJA Open, 8, 100243. (doi: 10.1016/j.bjao.2023.100243) (PMID:38143792) (PMCID:PMC10746363)
Sylolypavan, A., Sleeman, D., Wu, H. and Sim, M. (2023) The impact of inconsistent human annotations on AI driven clinical decision making. npj Digital Medicine, 6, 26. (doi: 10.1038/s41746-023-00773-3) (PMID:36810915) (PMCID:PMC9944930)
Docherty, C. et al. (2023) The relationship between pain, anxiety and depression in patients with post-intensive care syndrome. Journal of Critical Care, 78, 154359. (doi: 10.1016/j.jcrc.2023.154359) (PMID:37356416)
Henderson, P. et al. (2023) Evaluation of a heath and social care programme to improve outcome following critical illness: a multicentre study. Thorax, 78(2), pp. 160-168. (doi: 10.1136/thoraxjnl-2021-218428) (PMID:35314485) (PMCID:PMC9872253)
Docherty, C. et al. (2023) Evaluating pain in survivors of critical illness: the correlation between the EQ-5D-5L and the brief pain inventory. BMJ Open Respiratory Research, 10, e001426. (doi: 10.1136/bmjresp-2022-001426) (PMID:36653059) (PMCID:PMC9853256)
Andonovic, M., Traynor, J. P., Shaw, M., Sim, M. A.B., Mark, P. B. and Puxty, K. A. (2022) Short- and long-term outcomes of intensive care patients with acute kidney disease. EClinicalMedicine, 44, 101291. (doi: 10.1016/j.eclinm.2022.101291) (PMID:35198917) (PMCID:PMC8850318)
Niemi, M. E. K. et al. (2021) Mapping the human genetic architecture of COVID-19. Nature, 600(7889), pp. 472-477. (doi: 10.1038/s41586-021-03767-x) (PMID:34237774) (PMCID:PMC8674144)
McCreath, G., Whitfield, P. D. , Roe, A. J. , Watson, M. J. and Sim, M. A.B. (2021) A Metabolomics approach for the diagnosis Of SecondAry InfeCtions in COVID-19 (MOSAIC): a study protocol. BMC Infectious Diseases, 21, 1204. (doi: 10.1186/s12879-021-06832-y)
McPeake, J. et al. (2021) Long-term outcomes following severe COVID-19 infection: a multicentre cohort study of family member outcomes. Annals of the American Thoracic Society, 18(12), pp. 2098-2101. (doi: 10.1513/AnnalsATS.202104-481RL) (PMID:34192506) (PMCID:PMC8641813)
Andonovic, M., Shemilt, R., Sim, M., Traynor, J. P., Shaw, M., Mark, P. B. and Puxty, K. A. (2021) Timing of renal replacement therapy for patients with acute kidney injury: a systematic review and meta-analysis. Journal of the Intensive Care Society, 22(1), pp. 67-77. (doi: 10.1177/1751143720901688) (PMID:33643435) (PMCID:PMC7890756)
McPeake, J. et al. (2021) Long-term outcomes following severe COVID-19 infection: a propensity matched cohort study. BMJ Open Respiratory Research, 8, e001080. (doi: 10.1136/bmjresp-2021-001080)
Docherty, A. B., Sim, M., Oliveira, J., Adlam, M., Ostermann, M., Walsh, T. S., Kinsella, J. and Lone, N. I. (2017) Early troponin I in critical illness and its association with hospital mortality: a cohort study. Critical Care, 21, 216. (doi: 10.1186/s13054-017-1800-4) (PMID:28814347) (PMCID:PMC5559840)
Sleeman, D., Moss, L. , Aiken, A., Hughes, M., Kinsella, J. and Sim, M. (2012) Detecting and resolving inconsistencies between domain experts’ different perspectives on (classification) tasks. Artificial Intelligence in Medicine, 55(2), pp. 71-86. (doi: 10.1016/j.artmed.2012.03.001)
Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) An investigation into the effects of commencing haemodialysis in the critically ill. Critical Care, 16(Suppl1), P359. (doi: 10.1186/cc10966)
Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) Investigation in haemodynamic stability during intermittent haemodialysis in the critically ill. Critical Care, 16(Sup. 1), p. 371. (doi: 10.1186/cc10978) (PMCID:PMC3363789)
Sim, M., Moss, L. , Docking, R., Henderson, K., McCallum, J., Sleeman, D. and Kinsella, J. (2011) 596: A novel system for detecting myocardial damage in the critically ill patient. Critical Care Medicine, 39(S12), p. 164. (doi: 10.1097/01.ccm.0000408627.24229.88)
Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying Myocardial Damage from Routinely Recorded Data in the Intensive Care Unit (ICU). Intensive Care Medicine, 37(S1), S213. (doi: 10.1007/s00134-011-2322-1)
Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying myocardial damage from routinely recorded data in the intensive care unit (ICU). Intensive Care Medicine, 37(S1), S213-S213.
Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowledge-Based Systems, 23(4), pp. 309-315. (doi: 10.1016/j.knosys.2009.11.009)
Moss, L. , Sleeman, D. and Sim, M. (2010) Reasoning by analogy in the generation of domain acceptable ontology refinements. Lecture Notes in Computer Science, 6317, pp. 534-543. (doi: 10.1007/978-3-642-16438-5_43)
Sleeman, D., Aiken, A., Moss, L. , Kinsella, J. and Sim, M. (2010) A system to detect inconsistencies between a domain expert’s different perspectives on (classification) tasks. Studies in Computational Intelligence, 263, pp. 293-314. (doi: 10.1007/978-3-642-05179-1_14)
Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56. (doi: 10.1258/rsmsmj.54.2.53)
Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56.
Moss, L. , Sleeman, D., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M., Sim, M. and Kinsella, J. (2009) Explaining anomalous responses to treatment in the Intensive Care Unit. Lecture Notes in Computer Science, 5651, pp. 250-254. (doi: 10.1007/978-3-642-02976-9_36)
Book Sections
Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the development of medical ontologies. In: Ferrario, R. and Oltramari, A. (eds.) Formal Ontologies Meet Industry. Series: Frontiers in artificial intelligence and applications (198). IOS Press: Washington, DC, pp. 114-125. ISBN 9781607500476 (doi: 10.3233/978-1-60750-047-6-114)
Conference or Workshop Item
Singh, S. , Andonovic, M., Traynor, J., Shaw, M., Sim, M., Mark, P. and Puxty, K. (2021) Comparison of De‑novo Acute Kidney Injury in Intensive Care Patients Requiring and not Requiring Renal Replacement Therapy. ESICM LIVES 2021 34th Annual Congress, 3-6 October 2021. (doi: 10.1186/s40635-021-00413-8)
Wessely, S., Sim, M., Bergman, B., Castro, C., MacManus, D., Armour, C., Venables, K. and Fear, N. (2016) Panel Discussion and Summing-Up: Opportunities for Epidemiology in Studying the Transition from Military to Civilian Life. Occupational Health: Think Globally, Act Locally (EPICOH 2016), Barcelona, Spain, 4-7 Sept 2016. A101.1-A101. (doi: 10.1136/oemed-2016-103951.272)
Moss, L. , Sleeman, D., Sim, M. and Kinsella, J. (2012) Using cardiovascular derangements to predict raised troponin levels. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 46-55.
Moss, L. , Grando, M.A., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Formalizing and Understanding Collaborative Decision Making in the Intensive Care Unit (ICU). Scottish Intensive Care Society Annual Meeting, St Andrews, UK, Jan 2011.
Moss, L. , Sleeman, D., Sim, M., Booth, M., Donaldson, L., Gilhooly, L., Hughes, M. and Kinsella, J. (2010) Transforming Clinical Anomalies into Clinical Insights: Developing a Knowledge-based System Which Explains a Patient’s Unexpected Reaction to Treatment. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.
Sim, M., Moss, L. , Aitken, A., Kinsella, J. and Sleeman, D. (2010) Intermittent Haemodialysis May be Associated With Increased Haemodynamic Stability. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.
Conference Proceedings
Sleeman, D., Kostadinov, K., Moss, L. and Sim, M. (2020) Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. In: 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), Valletta, Malta, 24-26 Feb 2020, pp. 66-76. ISBN 9789897583988 (doi: 10.5220/0008922000660076)
Sleeman, D., Moss, L. , Sim, M. and Kinsella, J. (2011) Predicting Adverse Events: Detecting Myocardial Damage in Intensive Care Unit (ICU) Patients. In: K-CAP 2011: The Sixth International Conference on Knowledge Capture, Banff, Alberta, Canada, 25-29 Jun 2011, pp. 73-80. ISBN 9781450303965 (doi: 10.1145/1999676.1999690)
Grando, M. A., Moss, L. , Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. In: 13th Conference on Artificial Intelligence in Medicine (AIME 2011), Bled, Slovenia, 2-3 Jul 2011, pp. 35-44. ISBN 9783642222177 (doi: 10.1007/978-3-642-22218-4_5)
Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C. , Hughes, M. and Kinsella, J. (2010) Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. In: 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2009), Cambridge, UK, 15-17 Dec 2009, pp. 63-76. ISBN 9781848829824 (doi: 10.1007/978-1-84882-983-1_5)
Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the Development of Medical Ontologies. In: Formal Ontologies Meet Industry (FOMI 2009), Vicenza, Italy, 2 Sep 2009, pp. 114-125. ISBN 9781607500476
Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: an Architecture for Clinical Hypothesis Examination. In: 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, June 17-19, 2008,
Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: An Architecture for Clinical Hypothesis Examination. In: 2008 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, 17-19 Jun 2008, pp. 158-160. ISBN 9780769531656 (doi: 10.1109/CBMS.2008.100)