Laura Moss

发表

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

John Kinsella, Derek H. Sleeman, Andy Aiken, 2010, Advances in Machine Learning II.

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

John Kinsella, Ian Piper, Martin Shaw, 2016, AMIA.

From a packet dispenser by Zerreisen to be removed packet structure

Richard C. Fuisz, Madhusudan Hariharan, Laura Moss, 2007 .

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

A. Stephen McGough, John Brennan, Ibad Kureshi, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Argumentation-logic for creating and explaining medical hypotheses

John Kinsella, Derek H. Sleeman, María Adela Grando, 2013, Artif. Intell. Medicine.

Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment

John Kinsella, Derek H. Sleeman, Martin Hughes, 2009, SGAI Conf..

ACHE: An Architecture for Clinical Hypothesis Examination

John Kinsella, Derek H. Sleeman, Laura Moss, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

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

Gordon Christie, Derek H. Sleeman, Laura Moss, 2007, AIME.

Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

John Kinsella, David Glasspool, Derek H. Sleeman, 2011, AIME.

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

Derek H. Sleeman, Laura Moss, Elias Gyftodimos, 2007, SGAI Conf..

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

Ian Piper, Anthony Stell, Laura Moss, 2018, HEALTHINF.

Development of workflow-based guidelines for the care of burns in Scotland

Jacques Fleuriot, Areti Manataki, Petros Papapanagiotou, 2017 .

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

John Kinsella, Derek H. Sleeman, Laura Moss, 2011, K-CAP '11.

Using Hadoop To Implement a Semantic Method Of Assessing The Quality Of Research Medical Datasets

Ibad Kureshi, Grigoris Antoniou, Stephen Bonner, 2014, BigDataScience '14.

Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements

Derek H. Sleeman, Laura Moss, Malcolm Sim, 2010, EKAW.

Temporal Discovery Workbench: A Case Study with ICU Patient Datasets

John Kinsella, Laura Moss, Derek Sleeman, 2014 .

Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment

John Kinsella, Derek H. Sleeman, Martin Hughes, 2009, SGAI Conf..

Supporting the Development of Medical Ontologies

Derek H. Sleeman, David Corsar, Laura Moss, 2009, FOMI.

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, 2010, Health Informatics J..

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

John Kinsella, Derek H. Sleeman, Martin Hughes, 2012, Artif. Intell. Medicine.

Data Quality Assessment Using Linked Data: A Case Study in the Medical Domain

Ian Piper, David Corsar, Laura Moss, 2012 .

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

John Kinsella, Ian Piper, David Corsar, 2013, AIME.

INSIGHT: Helping domain experts make their knowledge more consistent

John Kinsella, Laura Moss, Derek Sleeman, 2012 .

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

Derek H. Sleeman, Laura Moss, Kiril Kostadinov, 2020, HEALTHINF.

A linked data approach to assessing medical data

Ian Piper, David Corsar, Laura Moss, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

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

John Kinsella, Ian Piper, Martin Shaw, 2017, HEALTHINF.

Explaining Anomalous Responses to Treatment in the Intensive Care Unit

John Kinsella, Derek H. Sleeman, Martin Hughes, 2009, AIME.

Knowledge-driven inference of Medical Interventions

Ian Piper, Anthony Stell, Laura Moss, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

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

Martin Shaw, Laura Moss, Christopher Hawthorne, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

Using cardiovascular derangements to predict raised troponin levels

Laura Moss, Malcolm Sim, Derek Sleeman, 2012 .

Confusion Matrices To Refine A Novel Scoring System For Cardiovascular Instability In Intensive Care

Andy Aiken, Laura Moss, Malcolm Sim, 2009 .

Preferred label validation by Lexical Prototypicality Gradient : a use case on a Rare Diseases Ontology

Laura Moss, Andy Aitken, Manuel Quesada-Mart́, 2012 .

Transcranial Bioimpedance Measurement as a Non-invasive Estimate of Intracranial Pressure.

Ian Piper, Martin Shaw, Laura Moss, 2018, Acta neurochirurgica. Supplement.

Building an empirical treatment protocol from high-resolution traumatic brain injury data

Ian Piper, Anthony Stell, Laura Moss, 2014 .

Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury

Ian Piper, Greet Van den Berghe, Rob Donald, 2015, Intensive Care Medicine.