According to our database1, Laura Moss
Legend:Book In proceedings Article PhD thesis Other
Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R.
Proceedings of the AMIA 2016, 2016
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015
Argumentation-logic for creating and explaining medical hypotheses.
Artificial Intelligence in Medicine, 2013
Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach.
Proceedings of the Artificial Intelligence in Medicine, 2013
Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks.
Artificial Intelligence in Medicine, 2012
Knowledge-driven inference of Medical Interventions.
Proceedings of CBMS 2012, 2012
A linked data approach to assessing medical data.
Proceedings of CBMS 2012, 2012
Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011
Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments.
Proceedings of the Artificial Intelligence in Medicine, 2011
A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks.
Proceedings of the Advances in Machine Learning II, 2010
Explaining anomalies : an approach to anomaly-driven revision of a theory.
PhD thesis, 2010
Ontology-driven hypothesis generation to explain anomalous patient responses to treatment.
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.
Health Informatics Journal, 2010
Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements.
Proceedings of the Knowledge Engineering and Management by the Masses, 2010
Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009
Supporting the Development of Medical Ontologies.
Proceedings of the Formal Ontologies Meet Industry, 2009
Explaining Anomalous Responses to Treatment in the Intensive Care Unit.
Proceedings of the Artificial Intelligence in Medicine, 2009
ACHE: An Architecture for Clinical Hypothesis Examination.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set.
Proceedings of the Artificial Intelligence in Medicine, 2007