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ORCIDLaura Moss
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2020 – today
- 2021
[c19]Laura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne:
CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside. CBMS 2021: 301-306- 2020
- [c18]Derek H. Sleeman, Kiril Kostadinov, Laura Moss
, Malcolm Sim:
Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. HEALTHINF 2020: 66-76 - [c17]Laura Moss, Derek H. Sleeman, John Kinsella:
Persuasive Argument Schemes for Clinical Conflict Resolution: An Empirical Study. CMNA@COMMA 2020: 57-66
2010 – 2019
- 2019
- [e1]Elena Demidova, Stefan Dietze, John G. Breslin, Simon Gottschalk, Philipp Cimiano, Basil Ell, Agnieszka Lawrynowicz, Laura Moss, Axel-Cyrille Ngonga Ngomo:
Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2465, CEUR-WS.org 2019 [contents] - 2018
- [c16]Anthony Stell, Ian Piper, Laura Moss:
Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data. HEALTHINF 2018: 135-146 - 2017
- [c15]Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella:
Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. HEALTHINF 2017: 463-468 - 2016
- [c14]Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella:
Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. AMIA 2016 - 2015
- [c13]Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou:
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData 2015: 737-746 - 2013
- [j4]María Adela Grando, Laura Moss, Derek H. Sleeman, John Kinsella:
Argumentation-logic for creating and explaining medical hypotheses. Artif. Intell. Medicine 58(1): 1-13 (2013) - [c12]Laura Moss, David Corsar, Ian Piper, John Kinsella:
Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach. AIME 2013: 68-72 - 2012
- [j3]Derek H. Sleeman, Laura Moss, Andy Aiken, Martin Hughes, John Kinsella, Malcolm Sim:
Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks. Artif. Intell. Medicine 55(2): 71-86 (2012) - [c11]Laura Moss, David Corsar, Ian Piper:
A linked data approach to assessing medical data. CBMS 2012: 1-4 - [c10]Anthony Stell, Laura Moss, Ian Piper:
Knowledge-driven inference of Medical Interventions. CBMS 2012: 1-4 - 2011
- [c9]María Adela Grando, Laura Moss, David Glasspool, Derek H. Sleeman, Malcolm Sim, Charlotte J. Gilhooly, John Kinsella:
Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. AIME 2011: 35-44 - [c8]Derek H. Sleeman, Laura Moss, Malcolm Sim, John Kinsella:
Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients. K-CAP 2011: 73-80 - 2010
- [b1]Laura Elizabeth Moss:
Explaining anomalies : an approach to anomaly-driven revision of a theory. University of Aberdeen, UK, 2010 - [j2]Derek H. Sleeman, Laura Moss, Elias Gyftodimos, Marianne Nicolson, Graham Devereux:
A comparison between clinical decisions made about lung cancer patients and those inherent in the corresponding Scottish Intercollegiate Guidelines Network (SIGN) guideline. Health Informatics J. 16(4): 260-273 (2010) - [j1]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. Knowl. Based Syst. 23(4): 309-315 (2010) - [c7]Laura Moss, Derek H. Sleeman, Malcolm Sim:
Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements. EKAW 2010: 534-543 - [p1]Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim:
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
- [c6]Laura Moss, Derek H. Sleeman, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, Malcolm Sim, John Kinsella:
Explaining Anomalous Responses to Treatment in the Intensive Care Unit. AIME 2009: 250-254 - [c5]David Corsar, Laura Moss, Derek H. Sleeman, Malcolm Sim:
Supporting the Development of Medical Ontologies. FOMI 2009: 114-125 - [c4]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
- [c3]Laura Moss, Derek H. Sleeman, John Kinsella, Malcolm Sim:
ACHE: An Architecture for Clinical Hypothesis Examination. CBMS 2008: 158-160 - 2007
- [c2]Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie:
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set. AIME 2007: 57-66 - [c1]Elias Gyftodimos, Laura Moss, Derek H. Sleeman, Andrew Welch:
Analysing PET scans data for predicting response to chemotherapy in breast cancer patients. SGAI Conf. (Applications) 2007: 59-72
Coauthor Index
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