John Kinsella

According to our database, John Kinsella authored at least 14 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• 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

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

2013

Investigating the Disagreement Between Clinicians' Ratings of Patients in ICUs.

Simon Rogers, Derek H. Sleeman, John Kinsella

IEEE J. Biomed. Health Informatics, 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

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

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

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