John Kinsella

15 papers B 6Misc 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2021 B conf
CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside.
CBMS
Laura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne
2020 — conf
Persuasive Argument Schemes for Clinical Conflict Resolution: An Empirical Study.
CMNA@COMMA
Laura Moss, Derek H. Sleeman, John Kinsella
2017 — conf
Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers.
HEALTHINF
Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella
2016 Misc conf
Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R.
AMIA
Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella
2013 J jnl
Argumentation-logic for creating and explaining medical hypotheses.
Artif. Intell. Medicine
María Adela Grando, Laura Moss, Derek H. Sleeman, John Kinsella
2013 J jnl
Investigating the Disagreement Between Clinicians' Ratings of Patients in ICUs.
IEEE J. Biomed. Health Informatics
Simon Rogers, Derek H. Sleeman, John Kinsella
2013 B conf
Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach.
AIME
Laura Moss, David Corsar, Ian Piper, John Kinsella
2012 J jnl
Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks.
Artif. Intell. Medicine
Derek H. Sleeman, Laura Moss, Andy Aiken, Martin Hughes, John Kinsella, Malcolm Sim
2011 B conf
Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments.
AIME
María Adela Grando, Laura Moss, David Glasspool, Derek H. Sleeman, Malcolm Sim, Charlotte J. Gilhooly, John Kinsella
2011 B conf
Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients.
K-CAP
Derek H. Sleeman, Laura Moss, Malcolm Sim, John Kinsella
2010 — ch.
A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks.
Advances in Machine Learning II
Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim
2010 J jnl
Ontology-driven hypothesis generation to explain anomalous patient responses to treatment.
Knowl. Based Syst.
Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella
2009 B conf
Explaining Anomalous Responses to Treatment in the Intensive Care Unit.
AIME
Laura Moss, Derek H. Sleeman, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, Malcolm Sim, John Kinsella
2009 — conf
Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment.
SGAI Conf.
Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella
2008 B conf
ACHE: An Architecture for Clinical Hypothesis Examination.
CBMS
Laura Moss, Derek H. Sleeman, John Kinsella, Malcolm Sim