Laura Moss

According to our database, Laura Moss authored at least 24 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside.

Laura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Persuasive Argument Schemes for Clinical Conflict Resolution: An Empirical Study.

Laura Moss, Derek H. Sleeman, John Kinsella

Proceedings of the 20th Workshop on Computational Models of Natural Argument co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), 2020

Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System.

Derek H. Sleeman, Kiril Kostadinov, Laura Moss, Malcolm Sim

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2018

Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data.

Anthony Stell, Ian Piper, Laura Moss

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers.

Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R.

Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella

Proceedings of the AMIA 2016, 2016

2015

Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain.

Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Argumentation-logic for creating and explaining medical hypotheses.

María Adela Grando, Laura Moss, Derek H. Sleeman, John Kinsella

Artif. Intell. Medicine, 2013

Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach.

Laura Moss, David Corsar, Ian Piper, John Kinsella

Proceedings of the Artificial Intelligence in Medicine, 2013

2012

Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks.

Derek H. Sleeman, Laura Moss, Andy Aiken, Martin Hughes, John Kinsella, Malcolm Sim

Artif. Intell. Medicine, 2012

Knowledge-driven inference of Medical Interventions.

Anthony Stell, Laura Moss, Ian Piper

Proceedings of CBMS 2012, 2012

A linked data approach to assessing medical data.

Laura Moss, David Corsar, Ian Piper

Proceedings of CBMS 2012, 2012

2011

Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients.

Derek H. Sleeman, Laura Moss, Malcolm Sim, John Kinsella

Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments.

María Adela Grando, Laura Moss, David Glasspool, Derek H. Sleeman, Malcolm Sim, Charlotte J. Gilhooly, John Kinsella

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks.

Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim

Proceedings of the Advances in Machine Learning II, 2010

Explaining anomalies : an approach to anomaly-driven revision of a theory.

Laura Elizabeth Moss

PhD thesis, 2010

Ontology-driven hypothesis generation to explain anomalous patient responses to treatment.

Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella

Knowl. Based Syst., 2010

A comparison between clinical decisions made about lung cancer patients and those inherent in the corresponding Scottish Intercollegiate Guidelines Network (SIGN) guideline.

Derek H. Sleeman, Laura Moss, Elias Gyftodimos, Marianne Nicolson, Graham Devereux

Health Informatics J., 2010

Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements.

Laura Moss, Derek H. Sleeman, Malcolm Sim

Proceedings of the Knowledge Engineering and Management by the Masses, 2010

2009

Supporting the Development of Medical Ontologies.

David Corsar, Laura Moss, Derek H. Sleeman, Malcolm Sim

Proceedings of the Formal Ontologies Meet Industry, 2009

Explaining Anomalous Responses to Treatment in the Intensive Care Unit.

Laura Moss, Derek H. Sleeman, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, Malcolm Sim, John Kinsella

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

ACHE: An Architecture for Clinical Hypothesis Examination.

Laura Moss, Derek H. Sleeman, John Kinsella, Malcolm Sim

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

Analysing PET scans data for predicting response to chemotherapy in breast cancer patients.

Elias Gyftodimos, Laura Moss, Derek H. Sleeman, Andrew Welch

Proceedings of the Applications and Innovations in Intelligent Systems XV, 2007

An Intelligent Aide for Interpreting a Patient's Dialysis Data Set.

Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie

Proceedings of the Artificial Intelligence in Medicine, 2007