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Malcolm Sim
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2020 – today
- 2023
- [j3]Aneeta Sylolypavan, Derek H. Sleeman
, Honghan Wu
The impact of inconsistent human annotations on AI driven clinical decision making. npj Digit. Medicine 6 (2023) - 2020
- [c8]Derek H. Sleeman, Kiril Kostadinov, Laura Moss
Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. HEALTHINF 2020: 66-76
2010 – 2019
- 2012
- [j2]Derek H. Sleeman, Laura Moss
Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks. Artif. Intell. Medicine 55(2): 71-86 (2012) - 2011
- [c7]María Adela Grando
Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. AIME 2011: 35-44 - [c6]Derek H. Sleeman, Laura Moss
Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients. K-CAP 2011: 73-80 - 2010
- [j1]Laura Moss
Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowl. Based Syst. 23(4): 309-315 (2010) - [c5]Laura Moss
Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements. EKAW 2010: 534-543 - [p1]Derek H. Sleeman, Andy Aiken, Laura Moss
A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks. Advances in Machine Learning II 2010: 293-314
2000 – 2009
- 2009
- [c4]Laura Moss
Explaining Anomalous Responses to Treatment in the Intensive Care Unit. AIME 2009: 250-254 - [c3]David Corsar, Laura Moss
Supporting the Development of Medical Ontologies. FOMI 2009: 114-125 - [c2]Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella:
Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. SGAI Conf. 2009: 63-76 - 2008
- [c1]Laura Moss
ACHE: An Architecture for Clinical Hypothesis Examination. CBMS 2008: 158-160
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